RPA Senior Developer

Sheldon
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Take the lead in our automation journey. Join us as a Senior RPA Developer and help transform how we operate by driving our ambitious RPA initiatives.
 
Join one of the UK’s leading distributors of electrical products and solution providers with 250+ branches nationally with a core value to develop talent & internal progression.

Great Salary
Contracted to 5 hours per week
Monday to Friday 08:30 – 17:00
33 days annual leave (including bank holidays) + Birthday Day off 
Comprehensive health & wellbeing support programme, long service awards & key milestones
Benefits: Enhanced family leave benefits, Agile working, Training academy, Buy and Sell annual leave, Free virtual GP service, accessible 24/7 & Staff discount on webshop & discounts in high-street stores. 
We are looking for an experienced Senior RPA Developer to join our growing automation team. You will play a pivotal role in designing, building, and optimizing complex RPA solutions across various departments. As a senior member of the team, you will be responsible for leading projects, mentoring junior developers, and working directly with stakeholders to identify automation opportunities.
 
With more than 120 projects in the pipeline, we have an exciting plan to implement bots across every department and function. From data extraction and process optimisation to enhancing efficiency company-wide, you will have the opportunity to contribute to a wide range of impactful projects.
 
Senior RPA Developer – Experience & Attributes:

3+ years of experience in RPA development with expertise in leading automation projects.
Must hold UiPath certification
Proficiency in scripting languages such as VB.NET, C#, or Python.
Experience with machine learning, AI and OCR technologies within the context of RPA is desirable as is a working knowledge of Power Platform including Power Automate.
Strong analytical skills and experience in automating processes involving data scraping, competitor analysis, and complex workflows.
Problem-solving abilities to tackle challenges in automation and optimize existing processes.
A proactive mindset with the ability to work independently and as part of a collaborative team. 
Ready to take your RPA career to the next level?
 
PLEASE APPLY ONLINE TODAY and a member of the team will be in touch
 
Suitable for: Lead RPA Developer, RPA Solutions Architect, Senior Automation Engineer, Intelligent Automation Lead, RPA Team Lead, RPA Technical Lead, Senior Process Automation Specialist, RPA Project Lead, RPA Implementation Manager, Senior Robotic Process Automation Engineer, Automation Solutions Architect, Senior Business Process Automation Developer, RPA Program Lead, Senior Digital Process Automation Engineer, Senior Intelligent Process Automation (IPA) Developer.
 
Our client believes that this role does not meet the criteria to be considered within the Home Office Shortage Occupation list. Therefore, they will not support an application for visa sponsorship and all applicants for this role must have an unrestricted right to work in the UK.

Meridian Business Support is a recruitment specialist acting on behalf of our client as an Employment Agency for this vacancy

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.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

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.