Engineering Manager

Belfast
4 weeks ago
Create job alert

Engineering Manager

Do you want to join a high-growth, dynamic tech business that is impacting real-world issues with its innovative products?

The company

This company are primarily data driven with domain expertise delivering insights to networks and assets using analytics, presentation, machine learning and AI that is SAAS and cloud based.

The Role:

Working primarily within the engineering organisation, across all delivery teams, the focus of this role is to take on ownership and responsibility for planning, delivery and execution of the technical delivery function. This will require a detailed understanding of the products, features, interactions, utilisation, configurations, customer deployments, services, architecture and roadmap determinations. In addition to execution, it will involve planning for new deployments and the introduction of new product services.

Key Responsibilities:

  • Lead and mentor the Technical delivery teams.

  • Assess delivery capabilities based on engineering delivery needs.

  • Create and execute plans for delivery based on capacity.

  • Communicate delivery and capability status.

  • Assess and measure productivity and utilisation.

  • Assess and feedback on individual performance reviews for reports.

  • Understand the capabilities and services of the product across multiple customers.

  • Work with customers, engineering and business teams to help determine prioritisation for planning and execution of delivery.

  • Understand the deployment, sites and sensors under management across customers.

  • Appreciate the organisation structure and help identify needs/changes for delivery.

  • Engage with Senior Management, HR and direct reports to develop and agree resourcing options and requirements.

  • Support architectural planning and s/w engineering delivery requirements.

  • Contribute to and produce estimations for timeframes and costs in delivery.

  • Advocate for additional tooling or processes with a view to optimisation and improvement.

    Essential Criteria:

  • Degree level education in a relevant discipline or equivalent experience.

  • 10+ years of experience in a delivery execution role.

  • 2+ years in an Engineering Management role.

  • Experienced in at least one of the main cloud technologies – AWS, Azure, RedHat, GCP, IBM Cloud.

  • Clarity in communication.

  • Can-do, problem-solving mindset.

  • Curious and willing to onward develop and learn in ML/AI area.

    Benefits:

    Private medical and dental insurance.

    24 days annual leave.

    Additional day off for birthday.

    Enhanced maternity / paternity package.

    Hybrid working

    Free parking at office.

    Share Options

Related Jobs

View all jobs

Engineering Manager

Engineering Manager

Sales Manager

Maintenance Manager

Workshop/General Manager

Maintenance Engineer

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.

Amazon Robotics Jobs in 2025: Your Complete UK Guide to Joining the Team Behind Proteus, Sparrow & Digit

When Amazon bought Kiva Systems back in 2012, few predicted that a single orange robot would snowball into a global fleet of over 750,000 mobile units navigating fulfilment centres from Swindon to Seattle. Fast‑forward to 2025 and Amazon Robotics (AR) is no longer a warehouse add‑on; it is a full‑blown tech powerhouse with dedicated R&D hubs, £multi‑billion investment and—crucially for you—hundreds of open roles spanning hardware, software and applied science. The official careers page lists 359 vacancies at the time of writing (amazon.jobs). Whether you are a UK student hungry for a summer internship, a ROS2 wizard targeting autonomy, or a mechanical engineer ready to design the next Proteus autonomous mobile robot, this guide unpacks everything you need to land an Amazon Robotics job in 2025.

Robotics vs. Mechatronics vs. Artificial Intelligence in Robotics: Which Path Should You Choose?

The Robotics sector has seen explosive growth in recent years, reshaping industries from manufacturing and logistics to healthcare and consumer products. At the same time, emerging technologies such as Mechatronics and Artificial Intelligence (AI) are converging with traditional robotics to create ever more capable machines—whether autonomous drones delivering packages, collaborative robots (cobots) working alongside human operators, or AI-driven surgical assistants. If you’re exploring Robotics jobs on www.roboticsjobs.co.uk, you may encounter related terms like Mechatronics or AI in Robotics, often used interchangeably but each with distinct applications and required skill sets. Which path should you pursue if you’re passionate about building the next generation of intelligent machines? In this comprehensive article, we’ll define Robotics, Mechatronics, and AI in Robotics, delve into their overlapping and unique skill sets, discuss salary ranges, highlight real-world examples, and provide guidance on choosing a career that aligns with your interests and strengths. Whether you’re a mechanical engineer, software developer, electrical specialist, or AI researcher, these fields present diverse and rapidly expanding opportunities to innovate in automation and shape the future of work and society.

Robotics Programming Languages for Job Seekers: Which Should You Learn First to Launch Your Robotics Career?

From autonomous vehicles and warehouse automation to surgical robots and companion drones, the field of robotics is advancing at an unprecedented pace. This rapid innovation has created a surging demand for talented robotics engineers, software developers, and researchers capable of writing robust, efficient code to power these systems. If you’re exploring opportunities on www.roboticsjobs.co.uk, one question stands out: Which programming language should you learn first for a successful robotics career? The answer isn’t one-size-fits-all. Robotics encompasses a broad range of tasks—real-time embedded development, high-level AI, motion planning, perception—and each domain has its own language preferences and ecosystem. Whether you’re interested in designing hardware-level control loops, building autonomous navigation software, or developing vision-based AI, selecting the right language (or combination of languages) is key to your success. In this article, we’ll: Highlight the top programming languages used in modern robotics. Break down pros, cons, and industry applications for each language. Offer a hands-on beginner’s project to cement your learning. Provide critical resources and tips to help you stand out on www.roboticsjobs.co.uk and beyond.