Head of Software Engineeering

Infused Solutions Ltd
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Manager, Head of Data Engineering

Senior Manager, Head of Data Engineering

Head of Data Engineering

Senior Machine Learning Engineer

Data Scientist

Senior Data Engineer

Job Title:Head of Engineering
Location:London (Onsite, Monday to Friday)
Salary:£120,000 - £140,000

Job Type:Permanent

About the Role:

We are seeking an experienced and visionary Head of Engineering to join our team in London. This is a pivotal role for someone who thrives on driving innovation, leading talented teams, and delivering cutting-edge software solutions. As the Head of Engineering, you will have the opportunity to shape our technical direction and play a key role in disrupting the market.


About You:

You are a seasoned software development leader with a passion for technology and a knack for solving complex problems. A natural facilitator, you excel at bringing out the best in people and guiding teams toward customer-centric solutions. Your curiosity and commitment to continuous learning and improvement make you stand out as a leader in your field.


Key Responsibilities:

  1. Lead and mentor a high-performing engineering team, fostering a culture of innovation and collaboration.
  2. Provide both broad and detailed technical development support to ensure project success.
  3. Work closely with stakeholders, including product owners and clients, to align technical solutions with business objectives.
  4. Identify and leverage individual strengths within the team while supporting professional development.
  5. Stay hands-on when needed, contributing to technical solutions without compromising team delivery.


Requirements:

  1. 5+ years of experience as a full-stack developer.
  2. Proven track record of successfully leading and mentoring engineering teams.
  3. Strong collaboration skills with stakeholders at all levels.
  4. Expertise in the following technologies:
    1. Java (including Spring framework)
    2. JavaScript
    3. Elasticsearch
    4. Cloud computing (AWS, Azure)
    5. Machine Learning
    6. GitHub, Jenkins, Linux
  5. Exposure to Python is desirable.


What We Offer:

The opportunity to work with a dynamic and innovative team in a market-leading organisation. A challenging yet rewarding environment that encourages professional growth. Competitive salary and the chance to make a meaningful impact on the company's success.


How to Apply:

If you are an experienced leader with a passion for technology and team development, we'd love to hear from you. Please submit your CV and a brief cover letter outlining your experience and suitability for the role.

#J-18808-Ljbffr

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

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.

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.

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.

🍪 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.