At a Glance
- Tasks: Lead a dynamic R&D team to innovate AI and machine-learning solutions.
- Company: Join Epicor, a collaborative tech company shaping the future with AI.
- Benefits: Enjoy competitive pay, health benefits, and opportunities for career growth.
- Other info: Flexible hybrid work environment with a focus on personal development.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: 8+ years in software engineering, including 4+ years in management.
The predicted salary is between 80000 - 100000 ÂŁ per year.
As Manager, AI & Innovation, you will lead a central R&D team—comprising primarily software engineers alongside data scientists—and a forward‑deployed engineering contingent across Europe and the UK. You will drive the conception, prototyping, and delivery of cross‑vertical generative AI and machine‑learning solutions at customer sites. This position is based in our Bracknell or Peterborough office, with hybrid support for both local and remote team members. You will report directly to the Senior Director of AI & Innovation and partner closely with UX, Product Management, and engineering leaders across multiple time zones.
Duties & Responsibilities
- Strategic AI & Innovation Leadership Define and execute a cross‑product AI roadmap focused on generative AI and machine‑learning capabilities. Align R&D priorities with broader corporate strategy and market demands.
- End‑to‑End Solution Delivery Oversee requirements gathering, algorithm and system design, development, validation, and deployment of AI solutions at customer sites. Ensure robust MLOps practices for scalability and maintainability.
- Rapid Prototyping & Experimentation Champion lean startup and design‑thinking methodologies to accelerate proof‑of‑concepts. Evaluate emerging AI frameworks, data platforms, and automation tools, recommending new software and infrastructure enhancements.
- Technical Guidance & Mentorship Provide hands‑on architectural direction—spanning cloud SaaS (primarily Azure, with AWS), Python, and C#—to cultivate technical excellence. Coach engineers and data scientists on best practices in model development, data engineering, and deployment.
- Stakeholder Engagement & Collaboration Collaborate with sales, UX, product management, and engineering leadership to translate complex business challenges into innovative AI solutions. Present technical proposals, live demos, and regular progress updates to executive stakeholders.
- Governance, Budgeting & Process Optimization Establish policies for innovation governance, IP management, and quality assurance. Contribute to annual budget planning, resource allocation, and strategic program initiatives.
Knowledge, Skills & Abilities
- Generative AI & Machine Learning Expertise Deep understanding of generative models, NLP, CV, and data‑driven architectures; proven track record deploying AI at scale.
- Innovation Management Skilled in lean experimentation, design thinking, rapid iteration, and cross‑functional program leadership.
- Cloud SaaS Proficiency Hands‑on experience with Azure cloud services (ML Studio, Databricks, Azure Functions) and familiarity with AWS offerings.
- Technical Versatility Proficiency in Python for AI/ML development and C# for integration with enterprise platforms.
- Leadership & Communication Demonstrated ability to build, coach, and guide high‑performing teams. Exceptional analytical, verbal, and written communication skills, with the ability to articulate complex technical concepts in business terms.
Qualifications
- Experience: 8+ years of progressive software or systems engineering experience, including 4+ years in a managerial role. Minimum 4 years of hands‑on AI/ML or advanced R&D experience in a corporate innovation setting.
- Education: Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent (advanced degree preferred).
- Travel: Willingness and ability to travel up to one week per quarter within the EU and UK. Occasional travel outside EU and UK for conferences and company events.
About Epicor
At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future‑ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain. We’re Proactive, Proud, Partners. Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.
Competitive Pay & Benefits
- Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well‑being.
- Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
- Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
- Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
- Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
- Work‑Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
- Global Mobility: Comprehensive support for international relocations and permanent residency processes.
Equal Opportunities and Accommodations Statement Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay—consider applying regardless. We are an equal‑opportunity employer.
Software Developer Manager in Peterborough employer: Epicor
Contact Detail:
Epicor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Developer Manager in Peterborough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your experience with generative AI and machine learning. Use real examples from your past work to demonstrate your skills and how you can add value to the team.
✨Tip Number 3
Don’t just apply—follow up! After submitting your application through our website, send a friendly email to the hiring manager expressing your enthusiasm for the role. It shows initiative and keeps you on their radar.
✨Tip Number 4
Stay updated on industry trends and innovations in AI. Being knowledgeable about the latest advancements will not only help you in interviews but also position you as a thought leader in discussions with potential employers.
We think you need these skills to ace Software Developer Manager in Peterborough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Software Developer Manager role. Highlight your leadership in AI and innovation, and don’t forget to mention any hands-on experience with generative AI and machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and how your background makes you the perfect fit for our team. Be sure to connect your past experiences with the responsibilities outlined in the job description.
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of projects where you’ve used Python, C#, or cloud services like Azure. This will help us understand your hands-on experience and how you can contribute to our innovative solutions.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Epicor.
How to prepare for a job interview at Epicor
✨Know Your AI & Innovation Stuff
Make sure you brush up on generative AI and machine learning concepts. Be ready to discuss your experience with deploying AI solutions at scale, as well as any hands-on projects you've led. This will show that you’re not just familiar with the theory but have practical insights to share.
✨Showcase Your Leadership Skills
Prepare examples of how you've built and guided high-performing teams in the past. Highlight your ability to mentor engineers and data scientists, and be ready to discuss how you’ve fostered collaboration across different departments. This is key for a managerial role!
✨Get Technical with Cloud Services
Since the role involves Azure and AWS, make sure you can talk about your experience with these platforms. Be prepared to discuss specific projects where you used Azure services like ML Studio or Databricks, and how you ensured robust MLOps practices.
✨Communicate Complex Ideas Simply
Practice explaining complex technical concepts in layman's terms. You’ll need to present ideas to stakeholders who may not have a technical background, so being able to articulate your thoughts clearly is crucial. Think of examples where you’ve successfully done this before.