Forward Deployed Engineer, Infrastructure Specialist (UK/EU/ME)

Cohere
United Kingdom
6 months ago
Job Type
Permanent
Work Pattern
Full-time
Work Location
Remote
Seniority
Senior
Education
Degree
Posted
10 Dec 2025 (6 months ago)

Benefits

Weekly lunch stipend In-office lunches & snacks Full health and dental benefits 100% Parental Leave top-up for up to 6 months Personal enrichment benefits Remote-flexible work policy

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

About North:

North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.

Why This Role?

This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.

We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.

In this role, you will:

  • Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.

  • Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.

  • Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations

  • Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.

  • Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.

You may be a good fit if:

  • You have experience with and enjoy working directly with customers

  • You have experience deploying enterprise software in private/hybrid cloud environments

  • You have proven experience administering production Kubernetes clusters and expertise with Helm

  • Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control

  • You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization

  • You excel in fast-paced environments and can execute while priorities and objectives are a moving target

If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.

Full-Time Employees at Cohere enjoy these Perks:

🤝 An open and inclusive culture and work environment

🧑‍💻 Work closely with a team on the cutting edge of AI research

🍽 Weekly lunch stipend, in-office lunches & snacks

🦷 Full health and dental benefits, including a separate budget to take care of your mental health

🐣 100% Parental Leave top-up for up to 6 months

🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement

🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend

✈️ 6 weeks of vacation (30 working days!)

Related Jobs

View all jobs
Spotlight

Senior ML Runtime Engineer

Fractile London, United Kingdom
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Forward Deployed Engineer, Agentic Platform

Cohere Shinfield, United Kingdom
Hybrid

Forward Deployed AI Engineer

Latent Labs London, United Kingdom, United Kingdom
Hybrid

Forward Deployed Software Engineer - London

OpenAI London, United Kingdom
Hybrid

Forward Deployed Software Engineer - Munich

OpenAI United Kingdom
Hybrid

Forward Deployed Software Engineer - Seattle

OpenAI United Kingdom
Hybrid

Forward Deployed Software Engineer

PhysicsX United Kingdom
Hybrid

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.