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

Apply Now

AI Engineer (Architect) remote within Europe

Human Edge
London
11 months ago
Applications closed

Related Jobs

View all jobs

Ai Engineer / Data Scientist

AI Data Engineer

AI Data Engineer

Azure AI Data Engineer

Machine learning and AI Engineer

Senior Machine Learning | AI Engineer

At Human Edge we embrace the agile mindset and strive to improve the way we do things continuously. We are passionate about what we do and work in an environment where we value innovation, creativity, and open communication. The pursuit of bringing human potential to life is at the CORE of everything we do to create value for our customers.


* This is a position for candidates already based in Europe with a valid working visa/ permit



We are merging learning & development solutions, education and learning technology, and psychometric assessment, augmented with AI, creating a new industry:

Learn.AI


We are seeking an innovative and experiencedAI Engineer (Architect)to join our innovation team. The ideal candidate will have a strong background in AI, machine learning, and data science, with a passion for developing intelligent systems and integrated solutions augmented with AI. You will collaborate closely with cross-functional teams to harness the power of AI in creating impactful learning experiences.


Key Responsibilities:

  • Architect scalable AI solutions that integrate seamlessly with our learning platforms and tools and oversee their development.
  • Identify opportunities where AI can add value and create roadmaps for implementation.
  • Evaluate and select the most suitable tools, platforms, and technologies aligning with our business goals
  • Analyze and preprocess large datasets to extract meaningful insights.
  • Work with cross-functional teams to understand business needs, define project requirements and ensure successful implementation of AI solutions.
  • Stay abreast of emerging AI trends, tools, and methodologies, and apply this knowledge to assess their applicability to our mission and objectives.


Qualifications

  • Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
  • Thought Leadership in Artificial Intelligence and Machine Learning.
  • Proven experience in designing and developing AI/ML models and applications.
  • Strong understanding of data structures, algorithms, and statistical methods.
  • Proficiency in programming languages such as Python, Java, and C++.
  • Experience with AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and SQL databases.
  • Familiar with the integration of different systems and the use of APIs.
  • Strong analytical and problem-solving skills, with a focus on translating complex technical concepts into practical applications.
  • Understanding of version control systems (e.g., Git).
  • Excellent communication and collaboration skills.



Additional Information

Come as you are! We're looking for amazing people with diverse backgrounds, experiences, abilities, and perspectives. Human Edge welcomes and encourages diversity in the workplace.

At Human Edge we are looking for talents who have...

  • Commitment:We embody ownership at Human Edge, passionately surpassing customer expectations and catalyzing business growth.
  • Accountability:We take ownership of our actions and decisions, stand firmly by our commitments, and use successes and setbacks as valuable opportunities for growth.
  • Excellence:We are relentless in our pursuit of quality, setting the standard for professional delivery and continuously raising the bar in everything we do.
  • Results:We are driven by outcomes, turning promises into reality by relentlessly pushing projects to successful completion.
  • Teamwork:We collaborate with purpose, uniting our diverse strengths toward a shared vision, celebrating collective achievements, and driving the team’s success forward.

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 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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.