Digital Development Manager

Ipswich
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000

Software Development Manager - Pioneering Tech Innovation I'm working with a market-leading manufacturer based in Ipswich seeking a Software Development Manager to drive their digital transformation journey. This is a brand-new position created to spearhead innovation across the business.

The Role Reporting to the Head of IT, you'll combine strategic leadership with hands-on development expertise to deliver cutting-edge digital solutions while building a high-performing team.

Key Responsibilities:
Lead the application support team, managing workloads and day-to-day operations
Contribute directly to development tasks, ensuring high-quality technical solutions
Implement and maintain robust development processes and secure lifecycles
Identify opportunities to enhance the digital portfolio through innovation
Oversee Power BI development and administration
Establish comprehensive data and reporting strategies
Develop clean, efficient, maintainable code
Introduce low/no-code solutions to optimize the Microsoft stack
Ensure seamless integration between digital platforms and core systemsWhat My Client Needs
Proven experience in UI design, secure applications, and database management
Understanding of complex RESTful web APIs
Leadership experience in digital development roles
In-depth knowledge of web technologies (HTML5, CSS, HTTP, JavaScript, PHP, .NET)
Extensive Microsoft Power Platform expertise (Apps, BI, Automate, Dataverse, Fabric)
Strong grasp of emerging technologies, AI, and machine learning
Familiarity with agile methodologies
Knowledge of CRM/ERP systems and Microsoft Azure/cloud technologies
Previous team management experience with mentoring abilitiesThe Ideal Candidate
Confident and engaging with a positive, proactive approach
Strong leadership skills with excellent communication abilities
Highly proactive with impressive problem-solving capabilities
Excellent time management and prioritization skills
Ability to navigate IT governance, controls and risk managementPackage Details
Competitive salary based on experience
Annual performance bonus
Comprehensive benefits including life assurance and healthcare
Excellent pension scheme
20 days annual leave (increasing to 25 after 1 year)
Extensive development and wellness programmesWorking Arrangements
Full-time, permanent position
Ipswich, Suffolk location with hybrid working options after probationIf you're a tech leader passionate about driving digital transformation in a collaborative, fast-paced environment, I'd love to discuss this opportunity with you

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.