Technical Director

Platform Recruitment
Bournemouth
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Senior Director of Data Engineering & Support Operations

Director of Platform & Data Engineering, Digital R&D

Data Engineering Director – Platform Strategy & Delivery

Senior Director of Data Engineering & Support Operations

Associate Director, Data Science/Gen AI Lead - ER&I

Technical Director / CTO – Healthcare Technology📍 Location: Bournemouth | 💰 Salary: £100K + £10K Bonus + Share Options + 5% Pension Match🕒 Full-time | Permanent | Office-based with flexible optionsJoin a market-leading, family-run business at the forefront of innovation in the Care and Healthcare tech sector. They're looking for a hands-on Technical Director / CTO to lead their growing R&D team and drive the development of next-generation hardware and software solutions.About the Role:You will head up the R&D department, working across a wide range of projects including Wireless Call Systems, Assistive Technology, IoT Sensors, and Cloud Analytics. You’ll manage and grow a skilled team (initially 6 reports), lead technical strategy, and be part of the Board of Directors contributing to the wider business vision.Key Responsibilities: * Lead R&D across full product lifecycle (hardware & software) * Collaborate with external partners including leading universities * Drive innovation in sensor tech, AI, and IoT architecture * Ensure project delivery, compliance, and quality standards * Contribute to strategic decision-making at Board levelEssential Skills & Experience:✔ Hardware & Firmware Development✔ Project Management & Version Control (Git/SVN)✔ Linux OS & MQTT protocol✔ Proven track record of bringing products to marketDesirable Knowledge: * IoT Architecture, UML, Sensor Tech (ToF, Machine Vision) * AI & Machine Learning * Python, Raspberry Pi, Jenkins * Android App & CAD Design * RF, Database Design, EC/UKCA ComplianceWhy Join Us?✅ £100K + £10K Bonus + Share Options✅ 5% Pension Match✅ Exciting R&D Projects with real-world impact✅ Opportunity to shape the future of healthcare technologyTake the next step in your career and be part of something that truly makes a difference.Apply now to join a passionate and growing team driving innovation in the healthcare tech space

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.