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

Apply Now

Software Engineering Manager

Xpertise Recruitment
Northampton
9 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist (H/F)

Data Science Manager - Simulation and Digital Twins

Machine Learning Engineer Manager

Machine Learning Engineer (Databricks)

Machine Learning Engineer

Senior Environmental Data Scientist/Hydrologist

Engineering Manager - Financial Services - Lead Tech Transformation! Xpertise Recruitment is excited to partner with an innovative player in the financial services sector, and we're on the lookout for a talented Engineering Manager / Integration Lead to join their Technology & Transformation leadership team. This is a unique opportunity to spearhead a brand-new tech capability, driving key technology initiatives and aligning them with broader business goals.As Engineering Manager, you'll take on a pivotal leadership role, shaping the future of the organisation's technology roadmap and fostering a culture of continuous improvement. You'll focus on driving value-led outcomes and positioning technology as a core business enabler.This is a rare chance to build a brand-new technology function from scratch. You'll have the autonomy to shape architecture, lead a talented team, and drive tech-led transformation. You'll be instrumental in turning this business into a truly modern, technology-driven organisation, with tech at the heart of everything they do.If you're passionate about cutting-edge technology, leadership, and making an impact, this is the role for you. What You'll Bring:Strong background in modern tech stacks, cloud-native architectures, and SaaS solutions.Extensive cloud experience in a cloud-first environment.Proven experience in leadership roles with a deep understanding of software development, data engineer...

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.

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.

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.