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

Apply Now

Senior Applied Ai Solution Engineer

Knight's Hill
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Applied Scientist - Computer Vision

Senior Machine Learning Engineer (Large Systems)

Risk Management – Data Scientist / Applied AI ML Lead - Vice President

2026 Machine Learning Operations (ML Ops) Graduate

Lead Software Engineer - Agentic AI/Machine Learning

Principal Data Scientist (UK)

Our client specialises in leveraging AI to give enterprise clients a competitive edge. They collaborate closely with ambitious industry leaders, helping them recognise and utilise AI's value in their operations. With a strong focus is on crafting tailored AI solutions and laying the groundwork for seamless scalability. They are seeking individuals who share's a passion for AI and its potential for positive change.

Responsibilities:

  • Visionary Leadership: Define the vision for innovative AI solutions, ensuring alignment with clients' objectives.

  • Analytical Problem-Solving: Break down complex challenges and make critical decisions to steer projects.

  • AI Application Development: Provide technical leadership in creating robust, transformative solutions.

  • Hands-on Development: Guide engineering teams while balancing technical leadership and hands-on coding.

  • Code Review and Mentorship: Manage and mentor teams, ensuring high-quality code and fostering talent development.

  • Project Management: Lead multiple projects effectively to maximize impact.

  • R&D Contribution: Contribute to the development of reusable assets and enhance technical capabilities.

  • Client Communication: Engage with senior stakeholders, explaining AI concepts and building strong relationships.

    Indicators of a Good Fit:

  • Software Development Background: Minimum 5 years of enterprise software development experience.

  • Leadership Skills: Ability to set vision, manage teams, and make strategic decisions.

  • Technical Excellence: Proficiency in Python, microservices, distributed systems, and large language models.

  • Communication: Effective in conveying concepts to diverse audiences.

  • Mentorship: History of supporting engineer development and fostering improvement.

  • Multitasking: Ability to manage multiple projects simultaneously.

  • Innovation: Proactive in staying updated with AI advancements and contributing insights.

    Benefits

  • Holiday entitlement of 25 days plus bank holidays

  • Company pension

  • Private medical insurance Wellness cash plan

  • Opportunity to join our share scheme

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 AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.