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

Apply Now

Software Team Leader

Stoke-on-Trent
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Data Scientist

Senior Data Engineer: Build AI-Ready Data Lakes & Pipelines

Senior Data Scientist

Senior Data Scientist

Data Engineer - Fixed Term Contract (12 months)

Data Engineer - Fixed Term Contract (12 months)

Software Engineering Leader

Hybid West Midlands 

An opportunity to join a company going through big growth looking to hire a hands off team leader to drive technology and change. This role will Lead a team of super talented multi-skilled engineers, building slick digital consumer products, relying on complex and modern technology.

The tech is complex, it needs to be resilient, scalable and slick for consumers and colleagues.

The Software Engineering Manager will run a team of senior engineers who are extremely proficient in a range of technologies including – Full stack on (JavaScript), Back End (C#/Go)

Skills required

Ability to inspire and lead very talented engineers to build amazing solutions.
Technical depth/strength
You will have a software engineering or data engineering background
Well versed and practical experience managing TDD, automation, CICD, OOP…
The culture/values

Very down-to-earth
Zero politics
Kindness
High standards
Flexibility and fairness
 
If you are intrigued or interested to know more, get in touch please in complete confidence (see below)

 Key pointers – SDM, software development manager, software engineering manager, head of software, agile, DevOps, cloud, international, leadership, AWS, CI, CD, TDD, OOP

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.