Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Automation Consultant

Cirencester
11 months ago
Applications closed

Related Jobs

View all jobs

AI and Machine Learning Lead – FinTech SaaS

Microsoft Fabric Consultant | DataOps | £75k + 10% Bonus | Progress to Solutions Architect

Microsoft Fabric Consultant | DataOps | £75k + 10% Bonus | Progress to Solutions Architect

Senior Consultant Data Scientist

Artificial Intelligence/Co-pilot Consultant

Artificial Intelligence/Co-pilot Consultant

We have fantastic and rare opportunity for a Automation Consultant to join our Business Improvement & Automation Division. This is an exciting opportunity to have exposure to all our central operations. You will collaborate closely with end users through to senior decision makers to offer guidance and new automation opportunities and support with incidents, enhancements, defects and changes.

Who are we looking for:

This is a true business operational role, not a developer role, where your passion for operational knowledge and automation will be a key. You will be a stand out team player with a strong business operational background, who enjoys to finding solutions to process issues, has an empathetic approach and who understands different perspectives, and a fantastic communicator.

Key Responsibilities of the Job:

  • Capability selection: Working with our development partner, support the evaluation and selection of appropriate automation capability and technologies to ensure solutions are optimal and exploit the digital workers

  • Feasibility studies: Perform feasibility studies to evaluate the viability of automation solutions, considering factors such as cost, benefits and potential risks

  • Business process analysis: Conduct thorough assessments of existing business processes to identify areas suitable for automation, considering Systems Thinking and Lean methodologies to re-engineer before automating and provide creative thinking to find the right solutions

  • Implementation: Lead implementation of automation solutions, ensuring successful integration into existing systems and processes

  • Automation Mentorship: Support and advise on standard processes in automation, leveraging experience and industry standards to streamline workflows.

  • Training and Documentation: Deliver training to end-to-end users and ensure the creation of comprehensive documentation to facilitate smooth adoption of any automations

    Special Requirements:

  • Advanced business knowledge of Automation tools I.e Blue Prism, UiPath, Automation Anywhere

  • Advanced business knowledge of all automation tactics and techniques such as Power Platform, Machine Learning, Natural Language Planning (NLP)

  • Proficient in Excel, Word, MS Teams and PowerPlatform

  • Understanding of change management principles

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.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.