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About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. Job Description Mirantis is inviting an experienced and client-focused Senior Solution Architect to join our dynamic client-facing technical team. You will develop trusted advisor relationships with prospects and customers by educating, presenting, demonstrating, and conducting POCs of Mirantis’ AI Infrastructure platform. This role offers the opportunity to work on ambitious, cutting-edge technology within the fast-evolving AI and cloud-native ecosystems. Responsibilities Partner with sales to support enterprise opportunities, and help customers understand the value of Mirantis’ industry-leading AI and Kubernetes-based solutions. Lead technical discovery sessions, demos, and proof-of-concept engagements with customers and partners. Translate customer requirements into solution architectures leveraging Mirantis’ products and best practices. Deliver engaging technical presentations and live demonstrations that showcase Mirantis’ platform capabilities, business value, and open-source innovation. Provide field feedback to influence product direction and go-to-market strategy. Serve as a trusted technical advisor – building and maintaining long-term relationships with client stakeholders while representing their needs within Mirantis. Represent Mirantis at industry events, conferences, and community meetups by delivering technical sessions, demonstrations, and thought leadership content. Qualifications 5+ years’ experience in a pre-sales, solutions architecture, or technical consulting role for cloud-native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability tooling, including open-source monitoring, logging, and alerting systems Strong understanding of the competitive landscape within the cloud infrastructure and open-source ecosystem. Track record of delivering outcomes for Fortune 500 clients and influencing senior IT/engineering leaders (CIO, CTO). Exceptional written, verbal, and presentation skills with the ability to communicate complex ideas clearly to technical and business audiences. Ability to travel to customer sites and events as needed. Preferred Qualifications Strong hands-on experience with Kubernetes, Docker, containers, virtualization technologies (vSphere, OpenStack), and leading public cloud platforms such as AWS, Google Cloud Platform, and Azure. Industry certifications (AWS, Azure, Kubernetes), especially Certified Kubernetes Administrator (CKA) Proven experience with enterprise-grade security, compliance, and regulatory frameworks. Comfortable operating in global, remote, and hybrid environments, with a demonstrated ability to manage complex projects across multiple teams and stakeholders. Soft Skills and Team Fit Proven problem-solving, consultative, and relationship-building skills. Entrepreneurial drive with a passion for learning and continuous improvement. High integrity, transparency, and a collaborative mindset. Additional Information What does Mirantis offer you? • Work with an established Silicon Valley leader in the cloud infrastructure industry;, • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;, • Be a part of cutting-edge, open-source innovation;, • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;, • Professional development and training;, • Attend conferences and working groups;, • Company outings, happy hours, hackathons, and tech talks;, • Receive a competitive compensation package with a strong benefits plan. It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities. We are a Leader for Container Management in G2 (#2 after AWS)!

Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment. Proven productization of deep nets (latency/throughput

The ideal candidate will have a PhD or equivalent expertise and extensive experience applying deep learning techniques. A leading technology firm in the United Kingdom seeks a skilled researcher to work on innovative projects in Computer Vision and Machine Learning.

Senior Software Architect - Deep Learning and HPC Communications. Experience with deep learning frameworks such as PyTorch, TensorFlow, etc. Deep understanding of operating systems, computer and system architecture.

This role bridges the gap between research and production by operationalising physics-informed and deep learning models under real-world constraints. Work at a well-funded startup backed by top-tier VCs, operating at the intersection of deep learning and physical science. Proficient in Python and de

We are looking for a Deep Learning Engineer to help design, development, and deployment of advanced deep learning models at Nanook. The ideal candidate combines deep technical expertise in neural networks and deep learning with practical experience delivering models end‑to‑end, from research to

Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in under

They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models. We are seeking research scientists with a demonstrated ability to apply deep learning to achieve sta

Knowledge and love for DevOps/MLOps practices for Deep Learning-based product’s development. Senior Deep Learning Performance Engineer - Training at Scale at NVIDIA. We are looking for senior engineers who are mindful of performance analysis and optimization to help squeeze every last clock cycle

A leading quantitative research firm in Greater London is looking for a research scientist to apply deep learning methods to complex research projects.

A financial technology company in the UK is seeking a Data Scientist to lead the development of deep learning models focused on underwriting. Strong Python skills and experience with machine learning frameworks are required.

The ideal candidate will have a PhD in a related field and extensive experience applying deep learning techniques. A digital identity and biometric technology company located in Greater London is seeking a Senior Research Scientist focused on projects in Computer Vision and Machine Learning.

Proficient in Python and deep learning frameworks like PyTorch or JAX, with experience in Docker and Kubernetes. This role bridges the gap between research and production by operationalising physics-informed and deep learning models under real-world constraints. Work at a well-funded startup backed

A leading recruitment agency in analytics is seeking a Senior Data Scientist to lead the development of machine learning solutions focused on CRM personalization. The ideal candidate has proven experience in machine learning, particularly in recommendation systems, and proficiency in Python.

A leading tech firm in digital identity is seeking an expert in Computer Vision and Deep Learning to join their R&D team. Ideal candidates will hold a PhD, have a wealth of knowledge in neural networks, and be proficient in Python, Docker, and deep learning frameworks.

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid.

A leading online retailer in Greater London is seeking a Machine Learning Engineer to develop and deploy impactful machine learning solutions within a cross-functional team. The ideal candidate will have hands-on experience in deep learning, proficiency with modern ML frameworks, and excellent commu

Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid. Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid. Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | Lond

Experience with active learning, semi-supervised learning, learning from noisy labels, model robustness (at least two). Pushing the boundaries of deep learning by building upon the latest. Experience with applying latest Deep Learning research in PyTorch.

Director of AI | Machine Learning | Deep Learning | Natural Language Processing | Large Language Models | Leadership | Remote, UK. This role is ideal for a senior AI researcher/engineer with deep experience in LLMs and agent systems who has shipped real product features and is eager to define the AI

The firm offers an exceptional learning experience with significant responsibilities early in one's career.

Our work sits at the intersection of data science, strategic insight, and commercial impact - deep, smart, and unapologetically future-focused.

Xcede has just started working with one of the leading applied AI companies in the UK.If you want to have a real impact, this is the role for you!.Wating someone to lead the AI solutions, you will establish data analytics strategies, create resilient system frameworks, guide and develop junior team

A deep passion for football combined with analytical rigour and strong communication skills for club-facing work.

Deep understanding of machine learning, data analysis, and statistical modelling. Senior / Staff Machine Learning Engineer - Gaming.

Deep learning and neural networks. Deep understanding of traditional NLP techniques.

Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Staff/ Lead Machine Learning Engineer. They are focused on designing, developing, and deploying cutting-edge machine learning solutions across th

My client is looking for an experienced ML Infrastructure Engineer to support the deployment, optimisation and scaling of advanced machine learning models in production environments. Productionise machine learning models from research through validation, staging and live deployment. Strong programmi

Do you want to build AI and data science solutions that directly influence high-value business decisions?.Have you taken models from exploration through to production in real environments?.Are you ready to work in a small, high-impact team with real ownership and autonomy?.This organisation is a glo

Xcede is partnering with a fast-growing applied AI consultancy working on complex, real-world machine learning projects across a range of industries. You’ll be responsible for building robust, scalable machine learning platforms that move models from experimentation into production. Strong experie

Data Scientist – Authentication & Identity (Consumer Tech).Contract: 12 months with potential extension.Working hours: 9:00 am – 6:00 pm.This role sits at the heart of.You will work on modernizing authentication and login experiences across multiple consumer applications, helping drive growth th

We are now looking for a Machine Learning Engineer to help build and optimise production-ready machine learning systems and advance our data pipelines for inference at scale. Whether you're hungry for learning, driven by achievement, or just love being part of a dynamic and supportive team, you'll f

I am exclusively partnered with a leading enterprise B2B2C company who are seeking a Senior Data Scientist who's worked on AI programs at scale to join them on a contractor basis, initial duration 12 months.You'll work on the greenfield build of an AI Chatbot, alongside a team of AI Engineers, Data

Hiring: Data Scientist – Contract (Inside IR35).You will collaborate closely with product, engineering, and business stakeholders to deliver high-impact, data-driven solutions.Build and industrialise ML/optimisation algorithms using best-practice software engineering principles.Implement automated

After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. Highly skilled in statistics, probabilities, applied mathematics and machine learning meth

Build and deploy machine learning models and simulation tooling in secure environments. This is a high-trust, high-autonomy role where you’ll own both technical delivery and stakeholder engagement - all within a deeply collaborative consulting environment.

Apply machine learning to optimise matching, pairing, and routing algorithms within the P2P marketplace. Understanding of optimisation methods (linear, mixed‑integer, reinforcement learning desirable).

Machine Learning Engineer | Early Stage Deep Tech Start Up | London. Founding Machine Learning Engineer. Design and build machine learning models for document understanding, knowledge graphs, and data extraction.

Senior Data Scientist – Personalisation.We’re working with a growing fintech organisation that’s redefining how people save and invest.Their mission is to make financial wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insig

Stay up to date with advancements in sports analytics, machine learning, and data science methodologies. Statistical & Machine Learning Modelling.

Infact are a progressive, fast-moving, credit referencing start-up.We see great opportunities to combine foundational statistics with modern AI to find meaning in consumer finance data.We are looking for a hands-on Data Scientist to work alongside our lead data scientist to experiment, engineer, and

This is a hands-on role for people who want deep ownership rather than line management. Strong foundations in statistics, probability, and applied machine learning.

Operationalising machine learning models and ensuring they are production-ready.

A fast-moving AI startup is rebuilding how logistics paperwork gets processed — one of the biggest bottlenecks in global trade.The product replaces slow, manual verification with production-grade ML systems used by enterprise customers.They’re hiring now because demand is real, ARR is growing, a

Principal Machine Learning Engineer – Production Systems.