National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Engineering Manager – AI/ML (Computer Vision Focus)

JR United Kingdom
Reading
1 day ago
Create job alert

Social network you want to login/join with:
Engineering Manager – AI/ML (Computer Vision Focus), reading col-narrow-left
Client: Location: reading, United Kingdom
Job Category: Other
-
EU work permit required: Yes
col-narrow-right
Job Views: 4
Posted: 31.05.2025
Expiry Date: 15.07.2025
col-wide
Job Description: Engineering Manager – AI/ML (Computer Vision Focus)
Up to £120/130k + bonus + shares
Remote-first – occasional travel to London
Innovating real-time AI in a world-class SportsTech environment
I’m working with a pioneering company in the SportsTech industry that’s scaling their AI capabilities and continuing to push the boundaries of real-time computer vision applications. As part of this growth, they’re looking for an Engineering Manager – AI/ML to lead a talented team of 11 engineers in building next-gen Computer Vision and AI solutions.
This role is ideal for someone with strong leadership experience who enjoys guiding technical architecture and design but prefers to remain hands-off in coding. You’ll play a critical part in shaping real-time AI systems while fostering engineering best practices and a strong, collaborative culture.
What you’ll be doing:
Lead and grow a team of 11 AI/ML engineers, primarily focused on computer vision.
Drive architectural decisions and technical direction across real-time AI systems.
Work closely with senior stakeholders to align engineering efforts with business goals.
Create a culture of high performance, mentorship, and continuous learning.
Own delivery processes and technical planning while staying high-level and strategic.
Ensure solutions are scalable, reliable, and well-architected for future growth.
What we’re looking for:
Proven experience managing high-performing engineering teams in AI/ML & Computer Vision.
Strong technical background with an emphasis on architecture and system design.
Preference for candidates with experience building real-time or low-latency systems – not essential.
Ability to lead without being hands-on – this role is more strategic and people-focused.
Excellent communication and stakeholder management skills.
If you're an engineering leader passionate about AI/ML and looking to build something impactful in a fast-paced environment, I’d love to hear from you.
Engineering Manager – AI/ML (Computer Vision Focus)

#J-18808-Ljbffr

Related Jobs

View all jobs

Engineering Manager - OSS and Tools

Research Manager (Computer Vision/Machine Learning)

Head of Engineering

Founding Computer Vision Engineer

Founding Computer Vision Engineer

Data Science Manager - Tax Technology and Transformation

National AI Awards 2025

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.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.