Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI Project Manager

Stockport
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist Project Lead

Data Scientist Project Lead

Data Analyst / Engineer (Python)

Consultant - Manager, Data Engineer, AI & Data, Defence & Security

Consultant - Manager, Data Science and Machine Learning, AI & Data, Defence & Security

Consultant - Manager, Data Science and Machine Learning, AI & Data, Defence & Security

Role: AI Project Manager
Location: Stockport (hybrid, 2 days onsite)
Salary: £60,000 - £75,000 (DoE)

Do you have a passion for AI and emerging technologies? An innovative software house based in Stockport is looking for an AI Project Manager to lead cutting-edge AI and automation initiatives that are transforming the way their clients operate.

The Role:
You'll lead end-to-end project delivery across multiple AI-powered products, working closely with data scientists, software engineers, and external stakeholders. You'll play a key role in shaping project scope, managing risk, and delivering high-performance AI solutions that align with business goals.

The Client:
Our client is a scale-up software business with a strong focus on AI and ML-driven solutions for the fintech and logistics sectors. Backed by recent funding and ambitious growth plans, they offer a creative and forward-thinking environment, with a focus on innovation and team wellbeing.

Requirements:

4+ years of project management experience, ideally in AI or data-centric environments
Experience delivering software projects in Agile environments
Excellent risk management, problem-solving, and team leadership skills
Technical understanding of AI/ML or data engineering concepts
Strong client communication and stakeholder engagement abilities

Benefits:

Hybrid working (3 days remote, 2 onsite in Stockport)
Private healthcare and mental wellness support
Stock options and annual performance bonus
Generous holiday entitlement + birthday off
Tech allowance and continuous learning budget

If you are eager to learn and have strong experience with the skill set above, and the role looks like a great fit, then please send your updated CV to .

Please note: All candidates must have full rights to work in the UK without any current or future requirements for sponsorship.

Role: AI Project Manager
Location: Stockport (hybrid, 2 days onsite)
Salary: £60,000 - £75,000 (DoE)

In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy

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.

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.

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.