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

Nominate & Attend

AI Team Lead

Bright Software Group
Belfast
9 months ago
Applications closed

Related Jobs

View all jobs

Principal Engineer

Head of Data Science & AI Delivery | London, UK

Senior Machine Learning Engineer

Scrum Master

Audio Machine Learning Engineer

Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank

Who are we?? At Bright, weve engineered cutting-edge software for accounting, payroll, tax, and practice management. We've assembled a team of top talent and stand ready to lead the industry with our superior software solutions and unparalleled customer support.? We're brilliant people creating brilliant software Join us in our mission to create brilliant software that empowers businesses to reach new heights.? The Opportunity As an AI Software Engineering Team Lead at Bright, you will play a pivotal role in leading our newly formed AI team. You will coach and mentor this team of team of skilled engineers while contributing to the development of high-quality, scalable products and services. This role involves overseeing the technical direction of projects, ensuring best practices are followed, and fostering a culture of continuous improvement. It is a player manager role, where you will have to balance your own individual technical contribution with the leadership duties on a small team. You will work closely with our AI Product Strategist and Engineering to design, develop, and deploy AI-driven solutions that address complex business challenges. This role will provide you with the opportunity to influence the AI strategy of the company and work on high-impact projects that will have direct impact on our customers and products. Key Responsibilities Lead and mentor a small team of engineers, providing guidance on technical challenges and fostering professional growth within the team. Design, develop, and implement AI-driven features such as recommendation engines, generative AI (including RAGs), and predictive analytics tools that enhance our product offerings. Partner with product teams to translate business requirements into technical specifications, develop MVPs, and help integrate AI features into existing products. Assist product teams in maintaining and scaling AI features. Serve as an AI advisor to product and engineering teams, providing guidance on best practices for implementing AI features, data pipelines, and machine learning algorithms. Deploy, monitor, and optimise AI models and solutions in production, ensuring they perform at scale and meet product requirements. Implement continuous improvement strategies for AI models based on user feedback and data. Work with large datasets to extract meaningful insights, develop models for predictive analysis, and help the company leverage data to drive decision-making. Quickly prototype and iterate on AI solutions, conducting experiments to validate hypotheses and explore new AI technologies that can be integrated into our products. Create and maintain comprehensive documentation for AI models, processes, and systems. Share knowledge and mentor other team members on AI and machine learning techniques. Be responsible for the teams delivery of new products, services, features and maintenance work, updating stakeholders of progress and ensuring project governance. Collaborate within the product manager, engineers, QAs and other stakeholders to translate business requirements into technical solutions. Lead the troubleshooting and resolution of complex technical issues. Stay updated with the latest industry trends, technologies and best practices in software engineering. Identify opportunities for improve development practices, tools, code health and maintainability in collaboration with the wider engineering community. Foster a culture of continuous improvement and create a collaborative environment within the team to ensure high-quality software delivery. Requirements : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Hands-on experience in AI/ML development, with a proven track record of deploying AI models into scalable production environments. Proficiency in programming languages such as Python, C#, JavaScript etc. and experience with machine learning frameworks such as PyTorch or TensorFlow. Knowledge of NLP, computer vision, deep learning, and generative AI models. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). Strong problem-solving skills with the ability to analyse complex data sets, identify patterns, and build models that can generalize across various use cases. Ability to work effectively in a cross-functional team environment, demonstrating a proactive and collaborative approach. Passion for staying current with the latest advancements in AI/ML technologies and a desire to push the envelope in applying them to real-world challenges. Experience leading a small team of software engineers and delivering high-quality software solutions. Experience building scalable solutions for the web. Experience working in a fast-moving agile environment, and able to help a team adapt and optimise its processes to meet its current needs and challenges. Strong understanding of continuous integration/continuous deployment (CI/CD) practices and tools. Job Type: Full-time Pay: £50,000.00-£65,000.00 per year Additional pay: Performance bonus Benefits: Additional leave Company events Company pension Cycle to work scheme On-site parking Private medical insurance Work from home Schedule: Monday to Friday Ability to commute/relocate: Belfast, BT8 6AW: reliably commute or plan to relocate before starting work (required) Experience: AI development: 2 years (preferred) Programming languages: 3 years (preferred)

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.