MLOps Engineer
London / £75000 - £85000 annum
INFO
SALARY:
£75000 - £85000
LOCATION
London
Permanent
London (Hybrid) | £75,000 - £85,000 + Bonus + Benefits
This is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.
The Company
A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability.
The Role
- Own and develop the MLOps infrastructure supporting AI services.
- Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect.
- Deploy and manage ML workloads on Kubernetes and cloud platforms.
- Implement CI/CD, observability, and monitoring across production systems.
- Develop infrastructure using Terraform, Bicep, or similar IaC tools.
- Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments.
- Strong Python software engineering skills.
- Commercial MLOps experience in production environments.
- Hands-on Kubernetes expertise.
- Experience with workflow orchestration platforms.
- Infrastructure as Code and CI/CD experience.
- Understanding of production ML, NLP, or AI systems.
SIMILAR
JOB RESULTS
MLOps Engineer
London
£75000 - £85000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior MLOps Engineer
London (Hybrid) | £75,000 – £85,000 + Bonus + Benefits
This is an opportunity to take ownership of the infrastructure powering a growing AI platform. You’ll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact.
The Company
A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability.
The Role
- Own and develop the MLOps infrastructure supporting AI services.
- Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect.
- Deploy and manage ML workloads on Kubernetes and cloud platforms.
- Implement CI/CD, observability, and monitoring across production systems.
- Develop infrastructure using Terraform, Bicep, or similar IaC tools.
- Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments.
Your Skills & Experience
- Strong Python software engineering skills.
- Commercial MLOps experience in production environments.
- Hands-on Kubernetes expertise.
- Experience with workflow orchestration platforms.
- Infrastructure as Code and CI/CD experience.
- Understanding of production ML, NLP, or AI systems.
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Data Operations Manager
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Data Operations Manager
London (Hybrid) | Up to £55,000 + Benefits
The Company
They are a well-established and fast-growing insights organisation with an international presence and a strong reputation for delivering high-quality data-driven projects. Their teams combine research expertise, technology, and operational excellence to help clients make informed business decisions. With significant investment in automation and modern data infrastructure, they offer an environment where innovation and continuous improvement are actively encouraged.
The Role
You will be responsible for managing and improving operational delivery across a range of quantitative research and data programmes.
Key responsibilities include:
- Delivering survey scripting, data processing, reporting operations, and workflow automation
- Designing, maintaining, and improving operational tools and automated processes
- Managing delivery priorities and resource allocation across multiple projects
- Identifying and mitigating delivery risks before they impact project outcomes
- Implementing and strengthening quality assurance and governance processes
- Acting as an escalation point for complex technical delivery challenges
- Working closely with stakeholders to communicate technical issues in a clear and commercially focused way
- Supporting the continuous improvement of operational frameworks, automation, and delivery standards
Your Skills & Experience
- Strong experience within market research, research operations, data processing, or a similar environment
- Hands-on survey scripting experience using platforms such as Decipher, Qualtrics, Forsta, Dimensions, or equivalent
- Experience managing quantitative data workflows and reporting outputs
- Strong data cleaning, transformation, and data management capabilities
- Knowledge of automation workflows, APIs, and process optimisation
- Exposure to tools such as SPSS, Q, DisplayR, or similar analytical platforms
- Excellent stakeholder management and communication skills
- Commercial awareness and the ability to balance quality, timelines, and operational efficiency
- Experience with Python, SQL, JavaScript, or other automation technologies is highly desirable
How to Apply
If you are interested in this Data Operations Manager opportunity, apply now to discuss the role in more detail.
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Senior Pricing Analyst
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
A Senior Pricing Analyst opportunity within a data-led business where pricing decisions have a direct impact on commercial performance. You’ll work across pricing, analytics, and business teams to improve segmentation, monitor performance, and support pricing strategy.
The Company
They are a customer-focused organisation investing in their pricing and analytics capability. Data plays a key role in business decisions, with teams working closely together to drive performance and improve customer outcomes. They offer a collaborative environment with opportunities to develop technical and commercial skills.
The Role
You will support the development and delivery of pricing strategies across a large customer portfolio.
Responsibilities include:
- Developing and refining pricing and customer segmentation models
- Analysing performance data to identify trends, risks, and opportunities
- Monitoring pricing performance and portfolio outcomes
- Producing analysis to support pricing decisions and business strategy
- Working with stakeholders across commercial, product, and analytics teams
- Presenting insights and recommendations to both technical and non-technical audiences
Your Skills & Experience
- SQL/Python and experience in pricing, commercial analytics, revenue management, or a related analytical role
- Background in insurance, telecommunications, gambling, travel, or another consumer-focused industry
- Strong analytical and problem-solving skills
- Ability to communicate insights clearly to stakeholders
- Experience working with customer, product, or pricing data
What They Offer
- Salary up to £55,000
- Annual bonus
- Hybrid working
To Apply for this Job Click Here
Director, Analytics
Nashville
$200000 - $225000
+ Digital Analytics
PermanentNashville, Tennessee
To Apply for this Job Click Here
Director of Analytics
Location: 100% Remote within the United States
Compensation: Up to $220,000 base salary + 15% annual bonus
Work Authorization: Must be a U.S. Citizen or Green Card holder. Sponsorship is not available.
About the Opportunity
A growing organization is seeking a Director of Analytics to lead the strategy, architecture, and delivery of a highly visible enterprise analytics platform. This is a hands-on leadership role for someone who has personally built and scaled modern data and analytics solutions while leading high-performing teams.
You’ll oversee a team of Analytics Engineers responsible for the full data lifecycle, including data ingestion, warehousing, semantic modeling, BI enablement, and customer-facing analytics solutions. This role offers the opportunity to shape the future of a rapidly evolving analytics function and influence business decisions at an executive level.
What You’ll Do
- Define and execute the analytics platform strategy and long-term roadmap.
- Lead the design and delivery of scalable analytics products, reporting solutions, and self-service data capabilities.
- Oversee modern cloud-based data architecture, data modeling, and analytics engineering best practices.
- Partner with executive stakeholders to translate business objectives into data-driven solutions.
- Build, mentor, and grow a high-performing analytics engineering team.
- Establish standards around data governance, quality, observability, security, and operational excellence.
- Drive adoption of modern development practices including CI/CD, version control, testing, and infrastructure automation.
What We’re Looking For
Leadership Experience
- 10+ years of experience in Analytics Engineering, Data Engineering, or related fields.
- 5+ years leading and developing analytics or data engineering teams.
- Proven success delivering enterprise-scale analytics products and data platforms.
- Experience hiring, mentoring, and growing technical teams.
Technical Expertise
- Deep experience with Snowflake and modern cloud data platforms.
- Strong knowledge of AWS, Azure, and/or GCP data services.
- Expertise with dbt, data modeling, semantic layers, and analytics engineering practices.
- Advanced SQL skills and strong proficiency with Python.
- Experience with modern BI tools such as Looker, Power BI, Tableau, or similar platforms.
- Familiarity with orchestration tools such as Airflow, Fivetran, Informatica, or equivalent technologies.
- Understanding of CI/CD, Git-based development workflows, and DevOps concepts.
Additional Preferred Experience
- Experience building customer-facing or embedded analytics solutions.
- Knowledge of data governance, security, and regulatory compliance frameworks.
- Exposure to technologies such as Docker, Kubernetes, Terraform, or similar infrastructure tools.
- Familiarity with AI/ML-enabled analytics products and data-driven decision platforms.
Why This Role?
This is an opportunity to join a company making significant investments in modernizing its analytics ecosystem. The successful candidate will have the ability to influence technical strategy, build a best-in-class analytics organization, and deliver high-impact data products that drive measurable business outcomes.
Schedule Expectations
- Most days begin around 8:00 AM Pacific Time.
- Occasional meetings may be scheduled as early as 6:00 AM Pacific Time to support distributed teams and business needs.
To Apply for this Job Click Here
GEO and Social Listening Consultant
London
£350 - £400
+ Digital Analytics
ContractLondon
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GEO & Social Listening Analyst
London | Outside IR35
This is an exciting opportunity to join a fast-paced agency environment, supporting high-profile consumer brand projects across GEO and social listening. With immediate project demand and the potential for further work into the new year, this contract offers the chance to influence strategic marketing decisions through data-driven insights.
The Company
They are a well-established agency working with major consumer brands on marketing strategy, audience intelligence, and digital insight projects. Their team partners closely with clients to translate complex data into actionable recommendations. Due to increased demand across multiple projects, they are looking for a contractor who can quickly add value and engage confidently with senior stakeholders.
The Role and Deliverables
- Deliver GEO analysis and insights to support ongoing marketing projects.
- Conduct social listening research and translate findings into actionable recommendations.
- Work directly with senior stakeholders, presenting insights and strategic recommendations.
- Support active consumer brand projects across audience intelligence and market understanding.
- Use data and insight tools to identify trends, opportunities, and performance indicators.
- Collaborate with agency teams to deliver high-quality client-facing outputs.
Your Skills & Experience
- Strong experience in GEO analysis and organic search insight, including SEMrush.
- Strong social listening capability using platforms such as YouScan.
- Experience working with consumer brands and marketing-focused insight projects.
- Ability to synthesise data into clear, commercially relevant recommendations.
- Confident communicator, comfortable engaging with senior stakeholders.
- Experience using audience and market intelligence tools such as GWI.
How to Apply
If you have strong GEO and social listening expertise and are available to start at short notice, please apply with your latest CV.
To Apply for this Job Click Here
Senior Pricing Analyst
London
£50000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Pricing Analyst
London (Hybrid) | Up to £60,000
If you’re looking for a role where your analytical expertise can directly influence commercial performance, this is an excellent opportunity to join a highly data-driven organisation investing heavily in its pricing and analytics capabilities. You’ll work on complex pricing challenges, collaborate with senior stakeholders, and see the tangible impact of your work across the business.
The Company
They are a well-established consumer-focused organisation undergoing significant growth and transformation. Data, analytics, and innovation sit at the heart of their strategy, with substantial investment in pricing, technology, and decision-making capabilities. They foster a collaborative environment where new ideas are encouraged and analytical thinking is highly valued. This is an opportunity to join a team that is committed to continuous improvement and long-term development.
The Role
You will play a key role in developing and enhancing pricing strategies that drive business performance and support profitable growth.
Responsibilities include:
- Designing and improving pricing segmentation across customer groups and products
- Analysing portfolio and segment performance to identify commercial opportunities and emerging risks
- Building and maintaining monitoring frameworks to assess pricing effectiveness
- Delivering actionable insights and recommendations to support strategic decision-making
- Collaborating with underwriting, product, commercial, and data teams to optimise pricing performance
- Supporting testing, experimentation, and continuous enhancement of pricing methodologies
- Communicating complex analytical findings clearly to both technical and non-technical stakeholders
Your Skills & Experience
- Strong commercial experience in pricing, modelling, analytics, or quantitative analysis
- Understanding of pricing principles, segmentation methodologies, and performance monitoring
- Proficiency in analytical and data tools such as Python, SQL, R, or SAS
- Ability to interpret complex datasets and translate findings into business recommendations
- Strong stakeholder management and communication skills
- A proactive and inquisitive approach to problem-solving
- Experience working within a fast-paced, data-led environment
How to Apply
If you’re interested in this Senior Pricing Analyst opportunity, apply today to discuss how your experience aligns with the role and learn more about the next steps.
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Senior Data Engineer – Databricks
Amsterdam
€70000 - €80000
+ Data Engineering
PermanentAmsterdam, North Holland
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Senior Data Engineer
Amsterdam | €80,000+ Bonus + Benefits
This is an exciting opportunity for a Senior Data Engineer to join a well-established retailer operating at scale across multiple markets. You’ll play a key role in shaping a modern data platform, enabling data-driven decision-making, and delivering impactful solutions that support both customer and commercial outcomes.
The Company
They are a leading retail business with a strong digital presence and a commitment to innovation. Operating in a fast-paced environment, they leverage data to optimise operations, enhance customer experiences, and support strategic growth. The organisation is investing heavily in its data capabilities, making this an excellent time to join and contribute to a growing data function.
The Role
As a Senior Data Engineer, you will help design, build, and optimise scalable data solutions across the business.
Responsibilities include:
- Designing and developing robust data pipelines for batch and real-time data processing
- Building and maintaining cloud-based data platforms and data warehouses
- Supporting the delivery of analytics, reporting, and machine learning initiatives
- Improving data quality, governance, monitoring, and observability across the platform
- Collaborating with Data Analysts, Data Scientists, Product teams, and business stakeholders
- Driving best practice in data engineering, architecture, and platform performance
- Contributing to technical strategy and mentoring colleagues within the data team
- Identifying opportunities to improve efficiency through automation and scalable engineering solutions
Your Skills & Experience
- Strong commercial experience as a Data Engineer or Senior Data Engineer
- Advanced SQL skills and strong capability in Python
- Experience building and maintaining modern cloud data platforms, ideally on Azure, AWS, or GCP
- Expertise in data modelling, ETL/ELT development, and data warehousing concepts
- Experience with orchestration and workflow tools such as Airflow or similar technologies
- Knowledge of modern data architecture principles and scalable distributed systems
- Experience working with large, complex datasets in a commercial environment
- Strong stakeholder management and communication skills
- Ability to work collaboratively across technical and non-technical teams
- Passion for data, continuous improvement, and delivering business value
What They Offer
- Salary of €80,000 depending on experience
- Performance-related bonus
- Competitive pension contribution
- Hybrid working model based in Amsterdam
- Generous annual leave allowance
- Learning and development budget
- Opportunity to influence a growing data platform and technical roadmap
- Clear career progression within a mature and expanding data function
- Supportive and collaborative working environment
How to Apply
If you’re a Senior Data Engineer looking for an opportunity to build scalable data solutions and have a real impact within a data-driven retail business in Amsterdam, please apply with your CV for further information.
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Analytics Consultant
$40 - $50
+ Advanced Analytics & Marketing Insights
ContractCalifornia
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Analytics Consultant
Claims Reporting & Operational Analytics
Rate: Up to $50/hour
Location: US Remote
Contract Type: 6 month contract
Overview
We are seeking an Analytics Consultant to support claims reporting, operational analytics, and payment integrity initiatives within a healthcare payer environment. This role will focus on building reports, dashboards, and analytical solutions that provide business users with actionable insights across claims operations and compliance reporting.
The ideal candidate will be a hands-on analyst with strong Power BI and SQL experience, capable of translating business requirements into meaningful reporting solutions.
Key Responsibilities
- Develop and maintain Power BI dashboards and reporting assets.
- Perform analyses across healthcare claims, provider, member, and encounter datasets.
- Build SQL queries and reporting logic to support operational decision making.
- Support payment integrity and claims reporting initiatives.
- Create ad hoc analyses, KPIs, and recurring operational reports.
- Work with business users to understand reporting requirements.
- Assist with compliance and regulatory reporting activities.
- Support data validation, quality assurance, and reporting governance activities.
- Collaborate with analytics and engineering teams to improve reporting capabilities.
Required Qualifications
- 3-5+ years of healthcare analytics, BI, or reporting experience.
- Experience working with U.S. healthcare claims data.
- Strong Power BI dashboard development skills.
- Solid SQL experience.
- Experience building operational reports and analytics solutions.
- Strong communication and stakeholder engagement skills.
- Ability to translate business requirements into reporting outputs.
Preferred Qualifications
- Exposure to Databricks.
- Experience supporting payer, managed care, or health plan organizations.
- Exposure to payment integrity, claims operations, or recovery analytics.
- Familiarity with AI-enabled reporting tools, natural language querying, or self-service analytics platforms.
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Senior Analytics Consultant
$60 - $70
+ Advanced Analytics & Marketing Insights
ContractCalifornia
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Senior Analytics Consultant
Claims Analytics, Payment Integrity & Regulatory Analytics
Rate: Up to $70/hour
Location: US remote
Contract Type: 6 month contract
Overview
We are seeking a Senior Analytics Consultant to support a healthcare analytics program focused on claims analytics, payment integrity reporting, regulatory compliance, and AI-enabled analytics. This individual will work directly with business and operational leaders to design, develop, and enhance reporting capabilities that improve payment accuracy, support recovery efforts, and strengthen compliance oversight.
This role requires a strong blend of healthcare domain expertise, hands-on analytics skills, and stakeholder-facing consulting experience. The successful candidate will be expected to lead analytics initiatives, advise stakeholders, and help shape future-state analytics capabilities.
Key Responsibilities
- Partner directly with business stakeholders to gather requirements and define reporting needs.
- Lead development of Power BI dashboards and operational reporting solutions.
- Analyze claims, provider, member, encounter, and policy data to identify trends and opportunities.
- Support payment integrity, recovery, and claims accuracy initiatives.
- Design scalable and reusable analytics products and KPI frameworks.
- Develop SQL and Databricks-based reporting and analytical solutions.
- Support regulatory, compliance, and audit reporting requirements.
- Contribute to AI-enabled analytics capabilities including natural language querying and semantic search.
- Help design L1/L2 analytical data models and governed reporting environments.
- Present findings and recommendations to executive and operational stakeholders.
Required Qualifications
- 7+ years of healthcare analytics, claims analytics, BI, or consulting experience.
- Extensive experience working with U.S. health plan claims data.
- Advanced Power BI development experience.
- Strong SQL skills and data modelling experience.
- Experience supporting payment integrity, recovery, or claims operations.
- Experience partnering directly with senior business stakeholders.
- Exposure to AI-enabled analytics, natural language query tools, or semantic search solutions.
- Excellent communication and consulting skills.
Preferred
- Databricks experience.
- Healthcare consulting background.
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Data Operations Manager
City of London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentCity of London, London
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This is an opportunity for a Data Operations Manager to join a research and analytics business focused on improving data delivery, automation, and operational processes. You’ll work across a range of data projects, helping to drive efficiency and support the continued development of the data function.
The Company
They are an established insights and research organisation that works with clients across multiple sectors. The business is investing in technology, automation, and operational improvement to support future growth. You will join a collaborative team where data and technology play a key role in project delivery.
The Role
You will be responsible for managing data operations and supporting the delivery of quantitative research programmes.
Key responsibilities include:
- Managing survey scripting, data processing, reporting operations, and workflow delivery
- Improving automation processes, tools, and data pipelines
- Identifying delivery risks and supporting quality assurance processes
- Coordinating priorities across multiple projects
- Working with stakeholders to ensure successful project delivery
- Supporting the development of operational processes and best practices
- Using technology to improve efficiency and reduce manual workloads
Your Skills & Experience
- Commercial experience within data operations, research operations, or data processing
- Hands-on experience using SPSS for data analysis and reporting
- Experience with Python and SQL for data manipulation, automation, and workflow improvement
- Strong data cleaning, transformation, and quality assurance skills
- Experience with survey scripting platforms such as Qualtrics, Forsta, Decipher, or similar
- Ability to manage multiple projects and deadlines
- Strong communication and stakeholder management skills
- Experience with APIs or workflow automation tools would be beneficial
What They Offer
- Salary up to £55,000
- Hybrid working with 2 days per week in the London office
- Opportunities for career development and progression
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Data Architect
City of London
£90000 - £100000
+ Data Engineering
PermanentCity of London, London
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DATA PLATFORM ARCHITECT
up to £100,000 + Benefits
London (Hybrid)
This is a fantastic opportunity to join a large-scale consumer-focused digital organisation, taking ownership of the architectural direction of a modern data platform that sits at the heart of business decision-making, digital growth and AI innovation.
THE COMPANY:
Our client is a highly recognised international digital business with a strong consumer presence and a global audience. Operating across multiple regions, the organisation has invested heavily in its data capabilities and is continuing to transform how data powers decision-making, customer experiences and emerging AI initiatives.
As part of a wider data and technology transformation, they are looking for an experienced Data Platform Architect to help shape the future of their data ecosystem and engineering standards.
THE ROLE:
You will take ownership of data platform architecture, standards and solution design across a growing engineering function. Working closely with platform engineers, analytics engineers, product managers, governance teams and senior stakeholders, you will help ensure data is scalable, trusted and ready to support AI-driven initiatives.
Key responsibilities include:
- Designing and evolving the organisation’s cloud-based data platform architecture
- Assessing and recommending new technologies, tools and data solutions across the business
- Defining architectural standards, best practices and reusable patterns across engineering teams
- Supporting data governance, security, metadata and data quality initiatives
- Providing hands-on guidance around Terraform, dbt, CI/CD, DataOps and platform engineering practices
- Partnering with stakeholders to understand requirements and translate them into scalable technical solutions
- Driving improvements around data lineage, observability, modelling standards and platform governance
- Supporting AI readiness programmes, semantic layer initiatives and self-service data capabilities
YOUR SKILLS AND EXPERIENCE:
You will bring strong capability in:
- Data Platform Architecture or Data Solutions Architecture experience within modern cloud environments
- Strong experience with Terraform and Infrastructure as Code (IaC)
- Commercial experience using dbt within modern ELT ecosystems
- Strong understanding of DataOps, CI/CD and engineering best practices
- Experience working with governance, security, privacy or risk functions
- Excellent stakeholder management skills with the ability to influence, coach and educate technical team
THE BENEFITS:
You will receive a salary of up to £100,000 depending on experience, alongside a comprehensive benefits package and the opportunity to play a key role in shaping a modern, AI-ready data platform.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
Senior Cloud Architect (GCP)
New York
$85 - $105
+ Data Engineering
ContractNew York
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Senior Cloud Architect (GCP)
Remote (U.S. EASTERN TIME) | Contract through February 2027 (Strong Extension Potential) |$85-$105/hr (dependent on experience) | 30-40 Hours/Week
We’re partnering with a globally recognized cloud and data consulting organization supporting a Fortune 500 gaming company on a highly visible cloud and AI/ML transformation initiative. This is an immediate need for a seasoned Google Cloud Architect to step into an active program and provide architectural leadership across cloud infrastructure, data platforms, and machine learning workloads. This opportunity comes as a back-fill on a mature project already well into delivery, making it ideal for someone who enjoys solving real-world production challenges rather than spending months on strategy and planning exercises.
What You’ll Be Doing
As the Senior Cloud Architect, you’ll serve as the primary cloud architecture SME across multiple teams while partnering closely with engineering leadership, ML engineers, and business stakeholders.
Key responsibilities include:
- Providing architectural oversight for enterprise-scale Google Cloud environments
- Reviewing and validating technical designs and implementation approaches
- Supporting Kubernetes-based platforms and cloud-native services
- Designing and maintaining Infrastructure-as-Code solutions using Terraform
- Troubleshooting complex production issues and guiding root-cause analysis
- Advising engineering teams on scalability, reliability, security, and cost optimization
- Partnering with ML teams to support distributed training and inference environments
- Mentoring engineers and serving as the senior technical escalation point across workstreams
Required Experience
We’re looking for a hands-on architect who has successfully delivered cloud solutions in large-scale production environments.
You should have:
- Extensive experience with Google Cloud Platform (GCP)
- Advanced expertise with Terraform and Infrastructure-as-Code
- Strong experience with Kubernetes in production environments
- Experience creating custom ML workflows
- Deep understanding of networking, IAM, security, governance, observability, and cloud operations
- Experience supporting enterprise-scale cloud applications and platforms
- Strong stakeholder engagement and consulting experience
- Ability to quickly establish credibility and technical leadership within existing programs
Bonus Points For
- AI/ML infrastructure experience
- Distributed training environments
- Reinforcement Learning (RL) platforms
- Gaming, entertainment, or large-scale digital product experience
- Multi-cloud exposure (AWS and/or Azure)
This role is perfect for a “battle-tested” Cloud Architect who enjoys jumping into active delivery environments, solving complex technical challenges, mentoring teams, and driving architectural decisions that have immediate business impact. If you’re someone who can quickly assess a situation, earn the trust of technical stakeholders, and deliver practical cloud solutions at enterprise scale, apply here!
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