EVera Recruitment | Chief Technology Officer

EVera Recruitment

London

1 year ago

Applications closed

Related Jobs

View all jobs

CHIS IIU Data Analyst Specialist | Kent Community Health NHS Foundation Trust

Retail Data Analyst

Senior Data Analyst - HOTH, Permanent

Data Engineer

SAS Data Engineer

Senior Data Scientist

On behalf of our client, we are seeking an exceptional Chief Technology Officer (CTO) to lead our technical strategy and drive engineering innovation. This is a unique opportunity to shape the future of energy storage solutions by integrating advanced hardware systems with transformative software and data-driven platforms.

For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.

TheCTOwill:

Develop scalable software architectures for real-time battery management and community energy platforms.
Lead the creation of intelligent payment and settlement systems for energy trading.
Ensure adherence to international grid regulations and standards.
Oversee the integration of hardware systems with digital platforms for real-time control and monitoring.
Optimize architecture for performance, security, and an exceptional user experience.
Define IP strategies for core technologies and innovations.
Design data warehousing frameworks to support real-time analytics.

TheCTOwill have:

Advanced degree in Computer Science, Electrical Engineering, or a related discipline.
Over 10 years of experience in software or technology leadership roles.
At least 5 years of expertise in the energy sector and/or financial services.
Track record of leading diverse technical teams (software, hardware, data)
Extensive experience in software engineering, including Python, cloud architecture, and APIs.
Solid background in data science, with expertise in machine learning, AI, optimization, and forecasting.

To get in touch with us regarding this exciting role, simply make an application online and you will be contacted by a member of our team!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 3, 2026

Jobs

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.

Jan 29, 2026

Careers Jobs

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.

Jan 24, 2026

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.