AI/ML, GenAI IT Project Manager

Bolton
2 months ago
Applications closed

Related Jobs

View all jobs

Solutions Architect

Senior Data Scientist

Data Scientist - GenAI & Recommender Systems

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

World Class Defence Organisation based in Bolton is currently looking to recruit a AI/ML, GenAI IT Project Manager subcontractor on an initial 12 month contract. The role will be a hybrid role of working from home and onsite (1-2 days per week).

Job Title: AI/ML, GenAI IT Project Manager

Rate: £75.00 - £80.00 per hour

Location: Bolton

Hybrid / Remote working: 1-2 days per week onsite

Contract: 37 Hours per week

Overtime: Hours worked over 37 hours per week will be calculated at 'time and a quarter'

Duration: 12 Months (initially and then ongoing and long-term thereafter)

IR35 status: Inside IR35 (Umbrella)

IT Project Manager Job Description:

Our department's mission is architect and oversee generative AI solutions, from inception to maintenance.
Providing the architecture and know-how necessary for end-to-end development of these solutions.
Develop our expertise and capabilities within the company
To define & maintain processes & methods for generative AI solutions
To provide infrastructure, technologies and expertise to deliver & support end to end generative AI solutions
To support and maintain delivered generative AI solutions
To develop & maintain generative AI expertise within the company.

Responsibilities:

We are seeking an IT Project Manager to join our new GenAI Delivery Office Team and ensure the smooth execution of AI-driven solutions. This role requires a proven track record in IT project management, knowledge of AI/GenAI technologies, and stakeholder management to drive timely, efficient, and high-quality project delivery. You will play a key role in managing expectations, timelines, and cross-functional collaboration while mitigating risks and aligning projects with business objectives. Focusing on delivery of on premise solutions.

Skillset/experience required:

Proven experience (5+ years) as an IT Project Manager or similar role in AI/ML, GenAI, or data projects.

Good knowledge of data and GenAI technologies (e.g., LLMs, NLP, micro services) is advantageous.

Hands-on experience managing projects in Agile/Scrum/Kanban.

Excellent stakeholder communication and expectation management skills.

Good technical background and ability to work effectively with multi-disciplinary and international distributed teams.

Experience with JIRA, Confluence, or similar project management tools

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.

Careers Education

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

Jobs

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Jobs Careers

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

🍪 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.