Knowledge graph engineer Work, Jobs in London, Eng (with Salaries)

Staff Implementation Engineer
Harness.io —London
- Azure
- Engineering
- SQL
- Annual leave
- Flexible schedule
Sr. Frontend Engineer - Graph UI (Hybrid, London)
CrowdStrike —London
- Full-time
- JavaScript
- APIs
- IT
Data Engineer
Redhorse International —London
- £51,355.35 - £106,846.96 a year
- Full-time
- SQL
- In-person
- AI
- Store discount
- Flexitime
Quick apply
Senior AI Engineer - Knowledge Graphs
9fin —London
- Full-time
- Hybrid work
- AWS
- Machine learning
- AI
- Sick pay
Detection & Security Engineer
CSS Labs —London
- £80,000 - £100,000 a year
- Full-time
- Hybrid work
- Computer networking
- APIs
- Linux
Quick apply
Unreal Engine Developer/ Engineer, Real-time Graphics (All levels)
NOVΛVERSE —London
- AutoCAD
- Computer Science
- C++
Quick apply
Software Engineer, Machine Learning
Meta —London
- Doctoral degree
- Computer Science
- Engineering
Analytics Engineer (Mid-level)
ZHA —London
- Full-time
- Azure
- Computer Science
- Engineering
Senior AI Engineer | Freelance
Elsewhen —London
- £500 - £600 a day
- Remote
- Master's degree
- SQL
- Machine learning
10d
Data Engineer (12 month Fixed term Contract)
Sony Interactive Entertainment —London
- Java
- SQL
- Travel
Data Engineer (12 month Fixed term Contract)
PlayStation Global —London
- Java
- SQL
- Travel
Quick apply
Full‑Stack Machine Learning Engineer
LexisNexis Risk Solutions —London
- Full-time
- DevOps
- Java
- Machine learning
- Employee assistance programme
- Employee discount
Full‑Stack Machine Learning Engineer
RELX —London
- Full-time
- DevOps
- Java
- Machine learning
- Employee assistance programme
- Employee discount
Senior Software Engineer, Localization (Calibration)
AeroVect —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- Master's degree
OSS & Autonomous Network Engineer
Capgemini Sogeti —London
- Hybrid work
- Master's degree
- Travel
- Computer networking
8d
Quality Test Engineer III
Elsevier —London
- Full-time
- Java
- Scripting
- Contracts
- Employee assistance programme
- Employee discount
Quality Test Engineer III
RELX —London
- Full-time
- Java
- Scripting
- Contracts
- Employee assistance programme
- Employee discount
Senior Software Engineer - Graph Analytics for Snowflake
Neo4j —London
- Java
- SQL
- APIs
Senior Engineer, Prediction, Planning and Controls. Autonomy
Rivian —London
- Full-time
- Doctoral degree
- Computer Science
- Engineering
AI Engineer
Complexio —London
- Remote
- Azure
- Doctoral degree
- Computer Science
Quick apply

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Staff Implementation Engineer

Harness.io -
London

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Job details

Benefits

Annual leave
Flexible schedule

Qualifications

Jira
Cloud infrastructure
Azure
Go
Salt
Atlassian Bamboo
Kubernetes
Ansible
Engineering
Google Cloud Platform
Bash (Unix shell)
SQL
AWS
Docker
Bachelor's degree
TOGAF
Driving
Terraform
Splunk
New Relic
REST
LDAP
GitHub
APIs
ServiceNow
Puppet
Linux
Chef
AI
Jenkins
GitLab
Communication skills
Graph databases
Python
PowerShell

Full job description

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle.

Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform.

Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency.

With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster.

Position Summary

In this role, you will be working with internal and external stakeholders to architect, design and implement FinOps, IaC, and DB solutions for enterprise customers. You will have an opportunity to work with Harness Engineering and various customer functions, such as DevOps, SRE, Cloud, Finance and Engineering Analytics teams. You will develop best practices and automations to streamline Harness platform deployments in the most efficient, scalable, repeatable and reliable manner possible. We're a high-growth company on a once-in-a-lifetime journey to revolutionize engineering deployment tools & continuous delivery.

In this role, you will partner closely with enterprise customers across EMEA to architect, design, and implement DevSecOps, FinOps, and Engineering Excellence solutions using the Harness platform.

You will collaborate with Harness Engineering, Sales Engineering, and Customer Success, as well as customer teams including DevOps, SRE, Platform Engineering, Cloud Infrastructure, Finance, and Engineering Leadership. Your mission is to help customers modernize and scale their CI/CD practices in a way that is secure, cost-efficient, reliable, and aligned with business outcomes.

This is a hands-on, customer-facing role in a high-growth global SaaS company, supporting organizations as they evolve their cloud-native and Kubernetes adoption across AWS, GCP, and Azure.

About The Role

Engage directly with customer technical teams to assess and understand existing processes and DevSecOps, CI/CD pipelines and governance models.
Architect and implement an optimized Harness setup for integration, scale, and repeatability
Interface with the Customer's Executive and Leadership teams to understand the technical goals and business objectives related to their processes, design their Harness implementation to best fit those requirements, and correlate the technical success criteria to the business requirements
Provide positive anecdotes from each engagement, craft best practices around Customer implementations, convert them into automation and create reference patterns
Document and implement processes and solutions that are employed for onboarding success for the purpose of internal enablement
Contribute to the product design, assist in the Harness Community, and for building out of an advanced technical knowledge base
Consult on DevSecOps, cloud-native CI/CD and Kubernetes
Interact with customers on a professional, meaningful and technically deep level
Define current-state vs. target-state architecture and a phased onboarding and adoption roadmap spanning CI/CD, IaC, security and reliability.
Provide forward-looking technical direction aligned with both customer needs and platform evolution.
Author and standardize design patterns (reusable pipeline templates, deployment strategies, golden paths) and integration blueprints to SCM, cloud, artifact registries, secret managers, identity, ITSM, and observability.
Guide and oversee execution across implementation engineers and delivery partners.
Drive onboarding and adoption across multiple teams and business units.
Deliver hands-on implementation across CI/CD, infrastructure-as-code, supply-chain security, the internal developer portal, database DevOps, and site reliability.
Partner with Customer Success and account teams to drive adoption, growth, and long-term customer success
Work closely with Pre-sales and Post-sales teams to ensure that Harness customers are successful and experience a high level of customer satisfaction with the Harness solution

About You

BA/BS degree in CS or Computer Engineering-related field with 8+ years in consulting roles / software delivery / DevSecOps / Platform Engineering
You have a strong consulting attitude and a commercial acumen in delivering custom solutions to customers of all sizes, stakeholder management, workshop facilitation, and customer-facing communication are part of your DNA.
Your written and verbal communication are exceptional - You are able to present to a platform engineer team as well as a CxO with equal confidence.
You have experience driving engineering culture change in large enterprises - such as onboarding and adoption of new tooling, processes, and ways of working at scale.
You are a results-driven individual with a hunger for accomplishing in fast paced environments and a knack for optimizing processes
You have a proven ability to work with cross-functional, distributed teams.
You are a perpetual learner, thrive in a team setting, enjoy sharing your experience and solutions, consistently pursuing excellence and success in all your tasks, detail-oriented and analytical, with excellent written and verbal communication skills.
You are familiar with architecture frameworks (TOGAF or equivalent) and Well-Architected reviews (AWS/Azure/GCP)
You have proven hands-on experience leading migrations from incumbent tooling to a modern, consolidated delivery platform - including continuous delivery (e.g., IBM UrbanCode Deploy / UCD), continuous integration (e.g., Jenkins), and infrastructure-as-code management (e.g., Terraform Cloud / HCP Terraform).
Willingness to travel up to 25%
Last but not least, you have deep hands-on experience in at least 3 of the areas listed below, with working knowledge of the rest:

CI/CD & pipelines: GitLab CI/CD, GitHub Actions, Jenkins, Azure DevOps, CircleCI, GitOps principles with Argo CD/Workflows, Tekton, Buildkite, Bamboo, TeamCity, AWS CodePipeline.
Policy-as-Code & governance: OPA/Rego, HashiCorp Sentinel, Kyverno.
SSO & identity: Okta, Azure AD/Entra ID, OneLogin, Keycloak, LDAP, SAML/OIDC.
Infrastructure as Code (IaC): Terraform, OpenTofu, Pulumi, AWS CloudFormation, Azure ARM/Bicep, Crossplane, Ansible - plus IaC orchestration/management such as Terraform Cloud / HCP Terraform, Spacelift, env0, Scalr, Terragrunt, Atlantis, AWS Proton
IaC security scanning: Checkov, Wiz, Snyk IaC, Checkmarx, Terrascan
Application security testing: SonarQube, Checkmarx, Veracode, Semgrep, Trivy, Grype, GitGuardian
Internal developer portals & platform engineering: Backstage, Cortex, Roadie, Kratix, Port, OpsLevel, Atlassian Compass, Configure8, Humanitec - with hands-on catalog modeling, golden-path scaffolding, and scorecards
Environment management & deployment: Argo CD, Flux, Spinnaker, Octopus Deploy, IBM UrbanCode Deploy, Codefresh; ephemeral / on-demand environments (Bunnyshell, Qovery, Release.com, Garden, Okteto, Signadot); configuration management with Ansible, Puppet, Chef, Saltstack in conjunction with Helm and Kustomize usage
Database DevOps: Liquibase, Flyway (incl. Redgate Flyway), Bytebase, Atlas (Ariga), Sqitch, SchemaHero, Redgate SQL Change Automation, DBmaestro
Site reliability & incident response (incl. AI-assisted): incident management and postmortems (PagerDuty, Opsgenie, incident.io, Rootly, FireHydrant, Blameless); AIOps / AI SRE (Resolve.ai, Cleric, Traversal, Neubird, Datadog Bits AI, BigPanda, Moogsoft)
Observability Datadog, Prometheus/Grafana, New Relic, Splunk, Dynatrace, Honeycomb, OpenTelemetry
Containers, cloud & foundations: Docker and Kubernetes (Helm, manifests, operators) on EKS/AKS/GKE; depth in at least one of AWS/Azure/GCP (IAM, networking, managed services); secrets management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager, CyberArk)
Scripting, languages & OS: Linux, Bash, Python (or Go), PowerShell
ITSM: ServiceNow, Jira

Work Location

UK, London. Travel is roughly 25% throughout the calendar year.

What You Will Have At Harness

Comprehensive healthcare benefits
Flexible work schedule
Paid Time Off and Parental Leave
Monthly, quarterly, and annual social and team building events
Monthly internet reimbursement
Quarterly Harness TGIF-Off / 4 days

Factors that may be used to determine your actual pay rate include your specific skills, experience, qualifications, location, and comparison to other employees already in this role. In addition to the base salary, certain roles may qualify for a performance-based incentive and/or equity, with eligibility depending on the position. These rewards are based on a combination of company performance and individual achievements.

Harness In The News:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.

At Harness, we care about your privacy and are committed to protecting your personal data. For additional information on this topic, you can visit our privacy Portal:

Note on Fraudulent Recruiting/Offers

We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.

Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.

If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at . You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (, or you can contact your local law enforcement agency.

Apply Now

Refine Your Search

knowledge graph engineer jobs in london, eng

Staff Implementation Engineer

Sr. Frontend Engineer - Graph UI (Hybrid, London)

Data Engineer

Senior AI Engineer - Knowledge Graphs

Detection & Security Engineer

Unreal Engine Developer/ Engineer, Real-time Graphics (All levels)

Software Engineer, Machine Learning

Analytics Engineer (Mid-level)

Senior AI Engineer | Freelance

Data Engineer (12 month Fixed term Contract)

Data Engineer (12 month Fixed term Contract)

Full‑Stack Machine Learning Engineer

Full‑Stack Machine Learning Engineer

Senior Software Engineer, Localization (Calibration)

OSS & Autonomous Network Engineer

Quality Test Engineer III

Quality Test Engineer III

Senior Software Engineer - Graph Analytics for Snowflake

Senior Engineer, Prediction, Planning and Controls. Autonomy

AI Engineer

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