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

Apply Now

Head of Software Engineeering

Infused Solutions Ltd
London
9 months ago
Applications closed

Related Jobs

View all jobs

Head of Automotive & Data Engineering — Platform Leader

Head of Data (Senior Data Scientist)

Head of Data Engineering - Preston

Head of Data Science Technology (Product, Engineering, Design) · London ·

Data Scientist – Cost Engineering (FinOps)

Head of Data Science

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.

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.