ML PLATFORMING
TALENT SOLUTIONS
Our expertise in data recruitment uniquely positions us to understand the complexities of Machine Learning Platforming jobs. We recognize the importance of these positions in developing, managing, and optimizing the platforms that underpin successful ML operations.
Our recruitment strategies are designed to identify professionals who are not only skilled in ML technologies but also proficient in creating and maintaining robust ML platforms.
Harnham's extensive global network enables us to tap into a rich talent pool, ensuring access to the best candidates in the ML Platform domain.
Our local market knowledge across the United States, Europe, and the United Kingdom allows us to match your organization with candidates who fit your technical requirements and company culture, ensuring a seamless integration into your team.
WHY
HARNHAM?
Our recruitment strategy is centred on understanding the unique needs and challenges of your organization. We provide a customized approach to ensure we deliver candidates that not only have the required technical expertise for Machine Learning Platforming jobs but also align with your strategic goals and values.
As a leading global authority in data recruitment, Harnham boasts a large team of dedicated specialists who understand the nuances of the ML Platform space.
This extensive network allows us to offer superior recruitment solutions, tailored to the specific needs of your organization, regardless of industry.
With over twenty years in the field, Harnham has a proven track record in data talent acquisition. This experience provides us with the insight to effectively navigate the ML Platform recruitment landscape, ensuring we deliver candidates who can drive your ML initiatives forward.
OUR
SERVICES
As a global leader in data recruitment, our expansive team of specialists offers unrivalled insights and solutions, ensuring we meet the specific needs of your organization, regardless of industry for Machine Learning Platforming jobs.
- Permanent Recruitment: We specialize in identifying long-term talent for your ML Platform team, focusing on candidates who can grow and evolve with your organization.
- Contract Recruitment: Our contract recruitment services offer flexibility, allowing you to adapt to project-specific or interim ML Platform needs with skilled professionals.
- Executive Search: We find industry-leading executives capable of steering your ML Platform strategies towards success and innovation.
Contact us today to explore how our bespoke talent solutions can elevate your organization's ML capabilities.
JOBS
LATEST ML PLATFORMING
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Principal Software Engineer – Data Platform
San Francisco
$230000 - $280000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco, CA (Remote Eligible – US Only)
$230K-$280K base + equity
Are you ready to lead the design and build of a world-class data platform from the ground up?
A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.
As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.
Why this role?
- Join a growing Data Platform team
- Own the technical vision and architecture end-to-end
- Tackle petabyte-scale data challenges and real-time streaming use cases
- Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
- Drive platform evolution to support AI/ML and company-wide analytics
What You’ll Do
- Design and build a next-gen data platform to power product and internal use cases
- Architect for batch + streaming, scalability, fault tolerance, and low latency
- Lead data modeling, warehousing, governance, and ingestion best practices
- Champion engineering excellence and mentor senior engineers
- Align technical decisions with long-term business strategy
- Optimize for performance, cost, and resiliency in a modern cloud environment
What We’re Looking For
- 8+ years of experience in data engineering or platform architecture
- 5+ years at the Principal Engineer level or equivalent
- Deep expertise with Kafka (and its ecosystem), streaming data systems
- Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
- Cloud-native architecture expertise (AWS, GCP, or Azure)
- Track record of designing data systems for compliance and governance
- Experience scaling systems to support petabyte-level workloads
- Excellent communication, collaboration, and leadership skills
- Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth
To Apply for this Job Click Here
Senior AI Product Engineer II
San Francisco
$192000 - $259000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Senior AI Product Engineer II
$192,000-$249,000 + Equity
3 days/week on-site
Overview
A fast-growing SaaS organization is seeking a Senior AI Product Engineer to develop and deliver AI-powered product experiences. This role focuses on transforming large language model (LLM) capabilities, retrieval systems, and agent-based workflows into intuitive, production-ready customer features.
The ideal candidate combines strong full-stack engineering expertise with practical experience building AI applications. You will work closely with product, design, and AI specialists to create scalable, user-centric solutions that improve complex business workflows through intelligent automation.
Key Responsibilities
- Design, build, and maintain AI-powered product features across the full stack using modern frontend and backend technologies.
- Develop responsive user interfaces that support real-time and streaming AI interactions.
- Integrate AI services, orchestration layers, retrieval systems, and agent workflows into customer-facing experiences.
- Collaborate with AI and machine learning teams to define APIs, output formats, and user interaction patterns.
- Translate sophisticated AI capabilities into practical, intuitive workflows for end users.
- Identify and improve areas where model outputs create usability challenges or inconsistent experiences.
- Build feedback mechanisms that capture user sentiment and output-quality signals to support continuous improvement.
- Implement observability and analytics for AI features, including performance, engagement, completion rates, and user adoption metrics.
- Create reusable components, state-management patterns, and frontend frameworks that accelerate future AI feature development.
- Develop and maintain automated testing strategies across frontend, backend, and AI-enabled workflows.
- Participate in architecture discussions, design reviews, and technical mentorship activities.
Required Qualifications
Experience
- 7+ years of professional software engineering experience delivering production-grade applications.
- 2+ years of experience building AI-enabled product features.
Frontend
- Strong expertise in React and TypeScript.
- Experience building highly interactive user interfaces that manage asynchronous and real-time data.
- Knowledge of modern frontend architecture and state management patterns.
Backend
- Strong proficiency in Python, Node.js, and TypeScript.
- Experience designing and consuming APIs for AI platforms and distributed services.
AI & Machine Learning Applications
- Hands-on experience working with commercial LLM platforms and AI APIs.
- Strong understanding of:
- Prompt engineering
- Context management
- Retrieval-Augmented Generation (RAG)
- Evaluation and quality measurement frameworks
- Structured outputs and response validation
- Familiarity with agent orchestration frameworks and multi-step AI workflows.
Real-Time Systems
- Experience implementing streaming architectures using technologies such as:
- Server-Sent Events (SSE)
- WebSockets
- Streaming HTTP responses
Product & Collaboration
- Strong product mindset with a focus on usability and customer outcomes.
- Experience working cross-functionally with engineering, product management, design, and AI/ML teams.
- Ability to thrive in fast-paced environments with evolving requirements.
Preferred Qualifications
- Experience in governance, risk, compliance, security, audit, or other documentation-intensive enterprise domains.
- Experience with Model Context Protocol (MCP) or similar AI tool-use standards.
- Exposure to retrieval system design and debugging retrieval-quality issues.
- Experience creating review, annotation, or quality-feedback tooling for AI-generated outputs.
- Prior experience establishing engineering standards and mentoring team members.
Work Model / Location / Engagement Details
- Full-time position.
- Hybrid work environment with a combination of in-office collaboration and flexible remote work.
- High degree of cross-functional interaction with product, engineering, design, and AI teams.
- Opportunity to influence both product direction and AI feature strategy within a rapidly scaling organization.
To Apply for this Job Click Here
Agentic AI Software Engineer
Houston
$160000 - $180000
+ Data Science & AI
PermanentHouston, Texas
To Apply for this Job Click Here
Senior Agentic AI Engineer (Full Stack)
$160,000-$180,000
4 days/week on-site
Overview
We are seeking a senior software engineer with a strong full-stack background who has evolved into AI engineering and agent development. This role focuses on building, deploying, and optimising intelligent agents and AI-driven workflows that interact with enterprise systems, data sources, and users.
The successful candidate will have hands-on experience developing production-grade AI applications using large language models (LLMs), retrieval-augmented generation (RAG), agent orchestration frameworks, and modern software engineering practices. This position is centred on designing and building AI agents rather than purely traditional application development.
Key Responsibilities
AI Agent Development
- Design and develop AI agents capable of reasoning across complex business processes and interacting with tools, APIs, and enterprise systems.
- Build intelligent support and workflow automation agents that understand intent, retrieve information, and execute tasks.
- Develop agentic workflows combining LLMs, structured data, business logic, external services, and retrieval mechanisms.
- Create memory, context, and personalisation capabilities to improve agent effectiveness.
- Implement guardrails, monitoring, evaluation frameworks, escalation paths, and human oversight mechanisms.
- Measure and improve agent performance across quality, reliability, latency, utilisation, and cost metrics.
Full-Stack Application Development
- Build user-facing applications that enable interaction with AI-powered experiences.
- Develop modern frontend applications using frameworks such as React, Angular, Next.js, or comparable technologies.
- Create backend services, APIs, orchestration layers, and integration services using Python-based frameworks.
- Translate advanced AI capabilities into practical business applications and intuitive user experiences.
- Own solutions end-to-end from architecture through deployment and support.
Data & AI Infrastructure
- Build and maintain data ingestion, integration, and transformation pipelines.
- Develop and support retrieval-augmented generation (RAG) solutions and enterprise search capabilities.
- Design systems supporting context management, retrieval, memory, and personalisation.
- Integrate AI solutions with databases, APIs, analytics platforms, and enterprise applications.
- Ensure data quality, security, reliability, and scalability across AI systems.
LLM Engineering
- Integrate and orchestrate large language models within production environments.
- Design prompting strategies, retrieval approaches, tool-calling frameworks, and multi-step workflows.
- Build AI-powered capabilities including conversational assistants, document intelligence, semantic search, and workflow automation.
- Evaluate models, architectures, and AI platforms for performance, reliability, business fit, and cost efficiency.
- Establish monitoring and evaluation methodologies for production AI solutions.
Engineering Excellence
- Leverage AI-assisted development tools to improve engineering productivity while maintaining high code quality standards.
- Stay current with emerging AI frameworks, tooling, and industry best practices.
- Implement CI/CD, testing, observability, security, and production monitoring practices.
- Support reliable deployment and ongoing optimisation of AI-enabled applications.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
- 8+ years of professional software engineering experience.
- Strong full-stack development experience across frontend and backend technologies.
- Proven experience building and maintaining RESTful APIs and backend services.
- Experience working with data-intensive applications and enterprise integrations.
- Hands-on experience developing AI agents, autonomous workflows, or LLM-powered applications.
- Strong understanding of LLMs, RAG, tool usage, orchestration frameworks, and AI application architectures.
- Experience integrating AI systems with APIs, databases, enterprise platforms, and third-party services.
- Frontend experience with React, Angular, Next.js, or similar frameworks.
- Experience using AI-assisted development tools within software delivery workflows.
- Experience designing agent memory, retrieval, context, evaluation, or reasoning systems.
- Strong understanding of cloud-native application development and deployment.
Preferred Qualifications
- Experience with modern data-platform or lakehouse architectures.
- Experience deploying applications on public cloud platforms.
- Experience with CI/CD pipelines, infrastructure automation, and cloud operations.
- Experience working within agile software delivery environments.
- Experience building highly scalable enterprise applications.
What Success Looks Like
- Demonstrates an AI-first engineering mindset focused on intelligent workflows rather than simple AI integrations.
- Comfortable operating across software engineering, AI, data, and infrastructure domains.
- Balances innovation with reliability, observability, governance, and security.
- Strong product mindset with a focus on measurable business outcomes.
- Effective communicator who collaborates with technical and non-technical stakeholders.
- Thrives in fast-moving environments where requirements and technologies evolve rapidly.
To Apply for this Job Click Here
Senior Software Engineer
San Francisco, CA
$160000 - $200000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Senior Full Stack Engineer (AI & Healthcare Technology)
$160,000-$200,000 base salary + equity
San Francisco, CA – Hybrid
About the Company
Join a fast-growing, venture-backed technology company focused on improving healthcare through innovative data, software, and AI-driven solutions. The team consists of experienced engineers, scientists, and industry leaders working together to build products that help healthcare professionals make better decisions and improve outcomes for patients.
The Opportunity
We’re seeking a Senior Full Stack Engineer to develop intelligent, AI-powered applications that streamline workflows for clinical users. You’ll work closely with stakeholders to identify challenges, build scalable solutions, and leverage modern AI technologies to improve efficiency and user experience.
What You’ll Do
- Build and ship full-stack applications using Python, Django, React, JavaScript/TypeScript.
- Develop AI/LLM-powered features and workflow automation tools.
- Design APIs, databases, and scalable backend systems.
- Integrate third-party services and AI platforms.
- Contribute to architecture decisions and technical strategy.
- Mentor engineers and promote engineering best practices.
- Partner closely with product and business teams to deliver impactful solutions.
What We’re Looking For
- 5+ years of full-stack software engineering experience.
- Strong experience with Python, React, JavaScript/TypeScript, and modern web applications.
- Experience designing APIs, databases, and scalable systems.
- Familiarity with AI/LLMs, either professionally or through meaningful personal projects.
- Strong communication and collaboration skills.
- Comfortable working in a fast-paced, startup environment.
Nice to Have
- Healthcare or regulated industry experience.
- Experience with LLM applications, prompt engineering, or RAG.
- Kubernetes or containerization experience.
- Technical leadership or mentoring experience.
Why Candidates Are Interested
- Build cutting-edge AI products with real-world impact.
- High ownership and visibility across the organization.
- Work on challenging full-stack and AI engineering problems.
- Collaborative, mission-driven team environment.
- Strong growth potential and equity opportunity.
To Apply for this Job Click Here
Senior AI Engineer
London
£75000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Engineer
£75,000 – £95,000
King’s Cross, London (1-2 days a week in office)
This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.
THE COMPANY
They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.
THE ROLE
As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.
Specifically, you can expect to be involved in the following:
- Design and implement end-to-end AI systems that deliver business impact.
- Build and deploy LLM-powered and agent-based solutions from concept through to production.
- Contribute to technical architecture and engineering best practices.
- Develop reusable components, frameworks, and patterns across multiple AI use cases.
- Make informed decisions on models, tooling, infrastructure, and system design.
- Ensure AI solutions are scalable, observable, secure, and production-ready.
- Support evaluation, monitoring, and governance processes for deployed AI systems.
- Provide technical guidance and mentorship to engineers contributing to AI projects.
SKILLS AND EXPERIENCE
The successful Senior AI Engineer will have the following skills and experience:
- Strong commercial experience delivering production-grade AI systems.
- Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
- Experience designing and implementing complex AI solutions across multiple domains.
- Knowledge of agentic AI systems and multi-step workflows.
- Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
- Ability to solve problems in evolving and ambiguous environments.
- Experience influencing engineering standards and contributing to technical excellence.
- Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
- Experience working within enterprise or regulated environments would be beneficial.
BENEFITS
The successful Senior AI Engineer will receive the following benefits:
- Salary between £75,000 – £95,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Forward Deployed Engineer
New York
$105000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Forward Deployed Engineer (AI & Data Platforms)
New York, NY – Hybrid 3 days a week on site
Up to $220,000 Base Salary + Benefits (dependant on residing state & level of experience)
US Citizen or Green Card holders – visa sponsorship unavailable now or in the future
I’m partnering with a leading consulting organization that is expanding its AI and Data Transformation practice and is seeking a Senior Forward Deployed Engineer to help deliver cutting-edge AI and data solutions within enterprise client environments.
This is a highly client-facing role where you’ll work directly with business and technical stakeholders to build, deploy, and optimize data and AI solutions that drive measurable business outcomes.
What You’ll Be Doing
- Lead end-to-end technical workstreams from discovery through deployment.
- Build and maintain production-grade Python and SQL data pipelines.
- Configure and optimize enterprise data and AI platforms.
- Work closely with engineering, data, and business teams to deliver scalable solutions.
- Drive user adoption through enablement, documentation, and technical leadership.
- Mentor junior team members and contribute to delivery best practices.
What We’re Looking For
- 5+ years of experience in client-facing, consulting, or embedded engineering roles.
- Strong hands-on experience with Python and SQL in production environments.
- Experience building and maintaining modern data pipelines and workflows.
- Background working with enterprise data platforms (Palantir Foundry experience is highly desirable).
- Proven ability to navigate ambiguity and deliver solutions independently.
- Strong communication skills with the ability to partner directly with client stakeholders.
Why Consider This Opportunity?
- Work on innovative AI, GenAI, and data transformation initiatives.
- Join a growing practice focused on solving complex enterprise challenges.
- Exposure to senior business and technology leaders across multiple industries.
- Opportunity to influence the adoption of next-generation AI solutions at scale.
Compensation: Up to $165,000 base salary, plus comprehensive benefits package.
If you’re interested in leveraging AI, data engineering, and client engagement experience to deliver high-impact solutions, I’d love to connect.
#DataEngineering #AI #GenAI #Palantir #Python #SQL #ConsultingJobs #Hiring #RemoteJobs
To Apply for this Job Click Here
Manager, AI Architecture
Atlanta
$175000 - $200000
+ Data Science & AI
PermanentAtlanta, Georgia
To Apply for this Job Click Here
Manager, AI Architecture
Atlanta, GA – Hybrid (3 days per week onsite)
$175,000-$200,000 base salary + annual bonus
THE COMPANY
Our client is a leading global consulting and transformation firm helping enterprise organizations leverage data, analytics, and artificial intelligence to drive measurable business outcomes. Their AI and Data practice combines deep technical expertise with strategic advisory capabilities to deliver scalable, production-ready AI solutions across a range of industries.
This is an opportunity to join a high-performing team at the forefront of enterprise AI, working on complex transformation initiatives that bring generative AI, agentic systems, and advanced analytics into real-world business environments.
RESPONSIBILITIES
- Lead the design and delivery of enterprise AI architecture solutions across client engagements.
- Build and oversee scalable AI platforms, agentic workflows, inference pipelines, and API-driven architectures.
- Partner with client stakeholders, engineering teams, and business leaders to translate requirements into robust technical solutions.
- Drive architectural decisions related to AI governance, security, observability, and production deployment.
- Establish best practices for evaluation-driven development, testing, and AI solution lifecycle management.
- Contribute to reusable frameworks, accelerators, technical standards, and architecture documentation that support broader delivery teams.
SKILLS AND EXPERIENCE
Required:
- 8+ years of experience in software engineering, AI/ML engineering, or AI architecture roles.
- Strong hands-on expertise designing and implementing LLM-based solutions, including RAG architectures, function calling, and AI agents.
- Experience with orchestration frameworks and vector database technologies.
- Deep understanding of cloud-native deployment, monitoring, security, and operational best practices.
- Proven ability to make independent technical decisions and communicate architecture recommendations to technical and non-technical stakeholders.
- Experience designing and delivering production-ready AI solutions within enterprise environments.
- Knowledge of responsible AI principles, including governance, privacy, security, and ethical AI practices.
Preferred:
- Consulting or client-facing delivery experience.
- Experience building reusable AI frameworks, accelerators, or platform capabilities.
- Familiarity with emerging agentic AI architectures and modern AI engineering practices.
- Project leadership and stakeholder management experience.
BENEFITS
- Competitive base salary of $175,000-$200,000.
- Annual performance bonus.
- Exposure to large-scale enterprise AI transformation programs.
- Hybrid working model with a collaborative team environment.
- Ongoing learning and development opportunities within a fast-growing AI practice.
- Opportunity to work with cutting-edge AI, GenAI, and machine learning technologies.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Manager AI Architecture | AI Architect | Generative AI | GenAI | Artificial Intelligence | LLM | Large Language Models | RAG | Retrieval Augmented Generation | AI Agents | Agentic AI | Vector Databases | Cloud Architecture | Machine Learning | AI Engineering | Enterprise AI | Solution Architecture | API Development | AI Governance | Consulting | Atlanta Jobs | Hybrid Working
To Apply for this Job Click Here
MLOps Platform Engineer
Phoenix
$65 - $77
+ Data Science & AI
ContractPhoenix, Arizona
To Apply for this Job Click Here
MLOps Platform Engineer
Phoenix, Arizona
This is a unique opportunity to build an enterprise-scale MLOps platform from the ground up. Joining a greenfield initiative, you will play a pivotal role in designing and operationalizing the infrastructure, automation, and governance required to deploy, monitor, and scale machine learning models in production. This project offers the chance to shape long-term MLOps strategy while working closely with Data Science and Data Engineering teams to establish best practices across the organization.
The Company
They are a large, established organization undergoing significant investment in data, analytics, and machine learning capabilities. With a strong focus on innovation and operational excellence, they are building modern data and AI platforms to support critical business initiatives. Their teams are committed to creating scalable, governed, and sustainable solutions that enable advanced analytics and machine learning at enterprise scale.
The Role and Deliverables
- Design and build a production-grade MLOps platform using Snowflake and related machine learning capabilities.
- Develop reusable ML pipelines covering training, validation, deployment, inference, monitoring, and lifecycle management.
- Establish model governance standards including versioning, approval workflows, lineage tracking, rollback procedures, and auditability.
- Implement model observability frameworks for performance monitoring, drift detection, data quality validation, and service reliability.
- Build and automate CI/CD processes for machine learning workflows, including testing, release management, and deployment controls.
- Partner closely with Data Scientists and Data Engineers to productionize models and ensure reliable integration with enterprise data platforms.
Your Skills & Experience
- Strong experience building MLOps platforms or machine learning infrastructure in production environments.
- Proven capability designing and implementing model deployment, monitoring, tracking, versioning, and registry processes.
- Advanced Python and SQL skills with experience developing and maintaining machine learning pipelines.
- Experience building CI/CD pipelines and automation frameworks for machine learning systems.
- Hands-on experience with enterprise machine learning platforms such as Snowflake ML, Databricks, AWS SageMaker, or similar technologies.
- Strong understanding of the relationship between data engineering pipelines and downstream machine learning workflows.
- Experience working with cloud platforms, ideally AWS.
- Ability to collaborate effectively with Data Scientists and Data Engineers to define requirements and deliver scalable solutions.
- Familiarity with Snowpark, Feature Stores, Model Registry capabilities, or other modern MLOps tooling is advantageous.
- Experience with medallion architectures, ML observability, AI agents, containers, dbt, Splunk, or near real-time machine learning environments would be beneficial.
How to Apply
If you are an experienced MLOps Platform Engineer who enjoys building scalable machine learning platforms from scratch and driving best practices across enterprise AI environments, please apply today.
To Apply for this Job Click Here
Engineering Director
London
£120000 - £135000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Engineering Director
UK Remote
Up to £135,000 + 15% Bonus
This is an excellent opportunity to join a newly established Data Hub function and play a leading role in shaping the future of enterprise data and AI. You’ll combine strategic leadership with hands-on technical oversight, helping build a scalable data platform that will support business-wide decision making and innovation.
The Company
They are investing heavily in their data capabilities, bringing previously fragmented data environments together into a single, governed platform. With strong backing from senior leadership and a clear roadmap in place, the Data Hub is a key strategic initiative designed to enable analytics, operational efficiency, and future AI use cases.
The Role
You will lead the Data Hub engineering team, owning delivery, technical direction, and team development.
Responsibilities include:
- Leading and mentoring data engineering teams
- Driving delivery of a modern enterprise data platform
- Owning architecture and technical decision-making
- Consolidating legacy systems into a scalable, governed environment
- Partnering with business and product stakeholders
- Managing distributed engineering teams and delivery processes
- Establishing engineering best practices across Agile, DevOps, quality, and reliability
- Contributing to the wider data and AI strategy
Your Skills & Experience
- Strong people leadership within data or platform engineering
- Deep Snowflake and DBT expertise
- Experience delivering large-scale data platform programmes
- Strong SQL and Python skills
- Data architecture and governance experience
- Agile delivery leadership
- Excellent stakeholder management and communication skills
- Experience leading offshore or distributed teams
- Hands-on technical credibility
Desirable:
- Databricks
- AI/ML platforms and workflows
- Agent-based AI solutions
- Backend or full-stack engineering exposure
What They Offer
- Up to £135,000 base salary
- 15% annual bonus
- Fully remote working in the UK
- Opportunity to build a newly formed Data Hub function
- Significant influence over platform strategy and architecture
- Exposure to modern data and AI technologies
- Clear growth and leadership opportunities as the team expands
To Apply for this Job Click Here
Lead AI Engineer
London
£95000 - £115000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead AI Engineer
£95,000 – £115,000
King’s Cross, London (1-2 days a week in office)
This is an opportunity to lead the design, architecture, and delivery of production-grade AI systems that create measurable business impact. You will work on high-value initiatives, building scalable AI solutions that are embedded directly into core business processes rather than standalone prototypes.
THE COMPANY
They are a well-established organisation investing heavily in AI innovation to transform business operations and deliver long-term value. Their focus is on deploying practical, scalable AI solutions that support real workflows and business outcomes. You will join a technology-driven environment where engineering excellence, collaboration, and innovation are highly valued.
THE ROLE
As a Lead AI Engineer, you will
Specifically, you can expect to be involved in the following:
- Own the technical direction, architecture, and implementation of AI systems end-to-end.
- Design and build LLM-powered and agent-based solutions from concept through to production.
- Establish engineering standards, reusable patterns, and scalable frameworks across AI initiatives.
- Make key decisions on models, tooling, infrastructure, and system design.
- Ensure AI systems are robust, observable, secure, and production-ready through effective evaluation, monitoring, and guardrails.
- Provide technical leadership and guidance to engineers working on AI projects.
SKILLS AND EXPERIENCE
The successful Lead AI Engineer will have the following skills and experience:
- Strong commercial experience delivering production-grade AI systems from design through deployment.
- Deep expertise in Generative AI, Large Language Models (LLMs), orchestration, prompting, and evaluation.
- Experience building agentic or multi-step AI systems.
- Excellent software engineering fundamentals across APIs, system design, and cloud-based architecture.
- Ability to define technical direction and operate effectively in complex or evolving environments.
- Experience influencing engineering standards and best practices across multiple projects.
- Exposure to AI platforms, reusable frameworks, LLMOps/MLOps, or enterprise AI environments would be beneficial.
BENEFITS
The successful Lead AI Engineer will receive the following benefits:
- Salary between £95,000 – £115,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Lead AI Ops Engineer (DevOps – GCP)
New York
$70 - $80
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Lead DevOps / AIOps Engineer
Location: Remote (USA)
Term: 3 Months, extendable
Type: Contract
Hourly Rate: $70-$85/hr (Dependent on Experience)
**we will NOT be engaging with agencies or 3rd parties for this role. No c2c.**
About the Opportunity
Our client is an internationally awarded Data, AI, and Machine Learning consultancy that helps enterprise organizations leverage cloud technologies, advanced analytics, and artificial intelligence to solve complex business challenges. They partner with leading organizations to design and implement scalable, production-ready data and AI platforms that drive innovation and business value.
The team is seeking a Lead DevOps / AIOps Engineer to help architect, automate, and operationalize modern cloud-based data and AI platforms. This role sits at the intersection of cloud infrastructure, data engineering, machine learning, and software delivery, with a strong emphasis on Google Cloud Platform (GCP).
This position is ideal for someone who enjoys both strategy and hands-on engineering, with the ability to design scalable cloud architectures, establish DevOps and AIOps best practices, and help teams successfully move data and AI solutions into production.
Responsibilities
- Lead the design and implementation of cloud-native DevOps and AIOps architectures on Google Cloud Platform (GCP).
- Build and optimize CI/CD pipelines supporting data, AI, and application workloads.
- Develop Infrastructure-as-Code solutions using Terraform and establish repeatable deployment standards.
- Architect and operationalize enterprise data platforms leveraging:
- BigQuery
- Cloud Storage
- Dataflow
- Pub/Sub
- Dataproc
- Cloud Composer
- Build AIOps capabilities supporting the full AI lifecycle, including model development, deployment, monitoring, versioning, and retraining.
- Establish observability across data and AI platforms, including logging, monitoring, alerting, pipeline health, data quality, and model performance tracking.
- Implement secure and scalable cloud infrastructure utilizing GCP IAM, networking, secrets management, and security best practices.
- Collaborate with Data Engineers, AI Engineers, Architects, and business stakeholders to deliver production-ready solutions.
- Define and promote engineering standards around automation, testing, environment management, reliability, and operational excellence.
- Troubleshoot complex production issues and lead root-cause analysis efforts.
- Mentor engineers and provide technical leadership across cloud, DevOps, data platform, and AIOps initiatives.
- Evaluate emerging cloud and AI technologies and recommend solutions that create measurable business value.
Required Qualifications
- 7+ years of experience in DevOps, Cloud Engineering, Platform Engineering, MLOps, or a closely related discipline.
- Strong hands-on experience with Google Cloud Platform (GCP), particularly BigQuery and cloud-native data services.
- Experience designing and implementing enterprise-scale data platforms on GCP.
- Strong understanding of BigQuery architecture, performance optimization, data ingestion, partitioning, clustering, and security best practices.
- Experience with:
- CI/CD pipelines
- Git-based workflows
- Automated testing
- Containerization technologies
- Kubernetes / Google Kubernetes Engine (GKE)
- Strong Infrastructure-as-Code experience, preferably with Terraform.
- Experience with Vertex AI and/or production machine learning platforms, including model deployment and monitoring.
- Hands-on experience with orchestration and data processing technologies, including:
- Cloud Composer / Airflow
- Dataflow
- Dataproc / Spark
- Pub/Sub
- Strong understanding of observability, reliability engineering, monitoring, logging, and alerting.
- Proficiency with Python and/or Bash scripting.
- Strong understanding of cloud security, IAM, networking, secrets management, and enterprise governance.
- Ability to operate at both the architectural and hands-on implementation levels.
- Excellent communication and stakeholder-management skills.
Preferred Qualifications
- Experience with Vertex AI, MLflow, Kubeflow, or other MLOps platforms.
- Experience implementing Generative AI (GenAI) or Large Language Model (LLM) solutions in production environments.
- Experience with Docker and Kubernetes/GKE in enterprise-scale deployments.
- Familiarity with:
- Data Quality frameworks
- Data Lineage solutions
- Metadata Management platforms
- Semantic Data Layers
- Experience working with AWS and/or Microsoft Azure.
- Previous consulting or professional services experience.
To Apply for this Job Click Here
GenAI consultant
Utrecht
€70000 - €70000
+ Data Science & AI
PermanentUtrecht
To Apply for this Job Click Here
Generative AI Consultant
Utrecht, Netherlands | Up to €70,000
Looking to build a career at the forefront of Generative AI? This is an opportunity to join a specialist AI consultancy that is fully dedicated to helping organisations modernise their operations through AI transformation. You will work on real-world Generative AI challenges, combining strategic advisory work with hands-on implementation across a variety of client environments.
The Company
They are a specialist AI consultancy focused on helping businesses navigate and deliver AI-driven transformation. Their work spans strategic advisory, technical implementation, and the deployment of advanced AI solutions. Working closely with clients, they guide organisations through the adoption of Generative AI and large language models to create measurable business impact. The team values curiosity, innovation, and an entrepreneurial mindset.
The Role
Advise clients on AI and digital transformation strategies.
Design and implement Generative AI solutions that address real business challenges.
Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based AI systems.
Support end-to-end delivery, from discovery and solution design through to implementation.
Collaborate directly with client stakeholders and technical teams.
Evaluate and recommend AI tools, platforms, and software solutions.
Translate technical concepts into practical business outcomes.
Travel to client sites across the Netherlands during the working week when required.
Your Skills & Experience
Fluent Dutch language skills.
Degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
Strong commercial experience working with Generative AI solutions.
Hands-on experience with LLMs and modern AI platforms such as ChatGPT, Claude, or similar technologies.
Experience building or deploying RAG architectures and agentic AI solutions.
Programming experience with Python and ideally R.
Strong consulting, stakeholder management, and communication skills.
An entrepreneurial mindset with a genuine interest in AI innovation and business transformation.
What They Offer
Salary up to €70,000.
Exposure to a broad range of AI transformation projects.
Opportunity to work in a consultancy that is fully focused on Generative AI.
Direct impact on client innovation and modernisation initiatives.
Strong opportunities for professional development and career growth.
Hybrid working model with a mix of client-facing and office-based collaboration in Utrecht.
How to Apply
If you are passionate about Generative AI and want to help organisations successfully adopt and scale AI solutions, apply today to learn more about this opportunity.
To Apply for this Job Click Here
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