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

Apply Now

AI Cloud Solution Architect

Tekaris GmbH
Bristol
8 months ago
Applications closed

Related Jobs

View all jobs

Business & Data Governance Associate - Data Science & AI

Data Engineer - Palantir

Data Engineer

Lead Data Engineer

Machine learning and AI Engineer

Machine Learning and AI Engineer

Digital Experience function hiring in: United Kingdom

Work Preference Option(s): Hybrid

Join Ascent and help shape the future of Generative AI solutions, by becoming a valued team member where your skills matter, your impact is significant, and your career can reach new heights.

About Us

We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business.

We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms.

We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too!

At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our central offices in Bristol and London. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office. However, we welcome applicants from all other areas in the UK, as we value diversity and recognize the unique perspectives each individual brings to our team.

We are a Microsoft Azure-focused consultancy and services company, specializing in App Innovation, Data, AI, and Cloud Infrastructure solutions. Recognized as one of Microsoft’s top 10 Generative AI partners in the UK, we offer the opportunity to shape cutting-edge AI initiatives for a wide range of clients.

About the role

As a Generative AI Solution Architect, you will:

  1. Collaborate and Innovate: Partner with both internal and client teams to understand business needs and create tailored, high-impact AI solutions.
  2. Lead with Expertise: Engage in early-stage client activities—from qualification and demos to proofs of concept, pilots, and discoveries—ensuring a seamless handover to the delivery teams.
  3. Leverage Subject Matter Expertise: Architect elegant, scalable solutions and maintain trusted client relationships. Stay current with emerging trends, contribute to new propositions, and share insights through blogs and other media.
  4. Work in a Hybrid Environment: Participate in weekly in-person meetings at our London or Bristol offices, with occasional travel to client sites. Enjoy a flexible blend of remote and on-site work.
  5. Contribute to Accelerators: Help evolve Ascent’s AI accelerators, enabling customers to rapidly implement effective solutions from both a technology and business perspective.

Your Skills

  1. Azure Architecture Experience: Proven success as an Azure Solution Architect in Software/App Innovation, Data, or AI, with the ability to consult, architect, and estimate solution costs.
  2. Generative AI Knowledge: Familiarity with Copilot, Azure AI Studio, Azure AI Foundry, and Agentic AI. We welcome applicants who are eager to learn and adapt in this rapidly evolving field.
  3. Infrastructure & DevOps Skills: Understanding of Azure infrastructure concepts and tools such as Azure DevOps, GitHub, CI/CD, ARM, BICEP, and Terraform.
  4. Exceptional Communication: Strong verbal, written, and presentation skills to both internal and external audiences.
  5. Versatile Experience: Working with varying organisations, from SMC to Enterprise.
  6. Agile Methodologies: Commercial Agile experience is desirable.
  7. Certification Preferred: Microsoft certifications are advantageous.

Working at Ascent

At Ascent we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches.

Your development and learning will be taken seriously, and we’ll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where we really live by our company values of Empathy, Energy and Audacity! Ascent also offers a variety of benefits in each of our countries.

Ascent is an equal opportunities employer. We take intentional steps to ensure inclusion and belonging are something real here, not just something we talk about. No person will be treated less favorably because of their gender, pregnancy, and maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability status. If you require any reasonable accommodation, please let us know when you apply.

If you have any questions contact our Talent Acquisition team on .

#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 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.