AI Team Lead

Bright Software Group
Belfast
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer - Research

Data Engineer

Lead Data Scientist

Data Engineer (AI Analytics and EdTech Developments)

Lead MLOps Engineer

Data Engineer (AI Analytics and EdTech Developments)

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)

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.