ML OPS
TALENT SOLUTIONS
Our MLOP's recruitment services are specifically tailored to the field of Machine Learning Operations. We understand the critical role ML Ops professionals play in bridging the gap between machine learning development and operational deployment, ensuring scalable, efficient, and reliable machine learning systems.
We specialize in MLOPS Jobs, offering data talent solutions for all levels of seniority within ML Ops, from hands-on engineers to strategic leaders. Our comprehensive approach ensures that your team not only has the technical expertise to manage ML systems but also the vision to achieve operational excellence and innovation.
WHY
HARNHAM?
Our reputation as a global leader in data recruitment is built on a foundation of hundreds of dedicated specialists who operate across the United States, Europe, and the United Kingdom. This extensive network empowers us to offer unparalleled recruitment solutions, matching our clients with the ideal Machine Learning Engineering and MLOPs Jobs talent.
We recognize the unique nature of each organization's Machine Learning needs. Our recruitment strategies are, therefore, highly customized, focusing on understanding and aligning with your specific business objectives and technical requirements.
OUR
SERVICES
- Permanent and Contract Recruitment: We provide both permanent and contract recruitment solutions, ensuring flexibility to meet the evolving needs of your Machine Learning projects and initiatives, including MLOPs jobs.
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- Executive Search: Our executive search service is designed to identify and secure leaders in the Machine Learning field who can propel your business strategies and technological innovations forward.
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- Industry-Specific Expertise: We operate across all industries, offering specialized recruitment solutions that understand and cater to the unique challenges and opportunities within your sector.
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Contact us today to learn how our bespoke talent solutions can enhance your organization's Machine Learning capabilities.
JOBS
LATEST ML OPS
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
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
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
Senior ML Ops Engineer
London
£75000 - £85000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior MLOps Engineer
£75,000 – £85,000
London (1-2 days a week in office)
This is an opportunity to join a growing AI and data-driven organisation where your work will have a direct impact on the development and delivery of advanced machine learning solutions. You will play a key role in shaping scalable MLOps infrastructure, enabling AI products to operate reliably across a diverse client base while contributing to meaningful, real-world outcomes.
THE COMPANY
They are a mission-led technology business that uses data, machine learning, and advanced analytics to help organisations make better decisions. Their platform combines data engineering, AI, and predictive modelling to generate actionable insights at scale. As they continue to grow, they are investing heavily in their AI capabilities and platform infrastructure, creating an exciting environment for engineers who enjoy solving complex technical challenges.
THE ROLE
As a Senior MLOps Engineer, you will join the platform engineering function, owning and evolving the infrastructure that underpins the organisation’s AI services
Specifically, you can expect to be involved in the following:
- Designing and maintaining scalable MLOps infrastructure that supports machine learning, NLP, knowledge representation, and AI applications.
- Deploying and managing machine learning models using Azure ML, Azure Kubernetes Service (AKS), and associated cloud technologies.
- Building and maintaining production-grade orchestration pipelines for model training, inference, monitoring, and retraining.
- Developing CI/CD pipelines to automate testing, deployment, and operational processes.
- Implementing observability, monitoring, and alerting frameworks to ensure platform reliability and performance.
- Driving best practice around Responsible AI, governance, transparency, and auditability.
- Collaborating with engineering, delivery, and consulting teams to support the adoption and scaling of AI solutions
- Other key responsibilities & selling points of role.
SKILLS AND EXPERIENCE
The successful Senior MLOps Engineer will have the following skills and experience:
- Strong commercial experience in MLOps, platform engineering, infrastructure engineering, or a related field.
- Advanced Python development skills within production environments.
- Expertise with Azure-native MLOps tools, including model endpoints, pipelines, registries, environments, and compute resources.
- Experience deploying and supporting containerised workloads on Kubernetes.
- Strong knowledge of CI/CD practices using Azure DevOps or similar tooling.
- Experience with infrastructure-as-code technologies such as Terraform, Bicep, or Pulumi.
- Knowledge of monitoring and observability tooling such as Prometheus and Grafana.
- Experience with orchestration platforms including Dagster, Airflow, Prefect, or similar.
BENEFITS
The successful Senior MLOps Engineer will receive the following benefits:
- Salary between £75,000 – £85,000 – 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
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
Senior MLOps Engineer 201043
City of London
£75000 - £85000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Senior MLOps Engineer
London (Hybrid) | Salary: up to £85,000
This is an opportunity to join a growing AI and data organisation where your work will directly support the deployment, scalability, and reliability of innovative machine learning solutions. You will play a pivotal role in building the infrastructure that enables advanced AI services to deliver real-world impact at scale.
The Company
They are a mission-led technology organisation that uses data, machine learning, and AI to help organisations make better decisions and deliver meaningful outcomes. With a growing client base and continued investment in their platform, they are expanding their engineering capabilities to support the next stage of growth. Their environment combines technical excellence with a strong focus on responsible AI, innovation, and continuous improvement. You will be joining a collaborative team where your expertise will help shape both the platform and the wider AI strategy.
The Role
- Build, maintain, and evolve the cloud infrastructure that supports machine learning and AI services in production.
- Deploy, manage, and monitor machine learning models using Azure ML, Azure Kubernetes Service (AKS), and related Azure services.
- Design and develop robust orchestration pipelines for model training, deployment, inference, and retraining workflows.
- Implement infrastructure-as-code solutions using tools such as Terraform, Bicep, or similar technologies.
- Establish monitoring, logging, alerting, and observability frameworks to ensure reliability and performance.
- Support scalable deployment across multiple client environments while maintaining security and operational excellence.
- Collaborate with data scientists, engineers, and wider business stakeholders to enable successful AI delivery.
- Contribute to AI governance, best practices, and responsible AI principles across the organisation.
Your Skills & Experience
- Strong commercial experience within MLOps, Platform Engineering, or Infrastructure Engineering supporting machine learning systems.
- Advanced Python programming skills with a strong software engineering mindset.
- Hands-on experience with Azure-native MLOps services, including model deployment, pipelines, environments, and compute resources.
- Proven expertise deploying and managing containerised applications on Kubernetes.
- Experience building and maintaining CI/CD pipelines using Azure DevOps or similar tools.
- Knowledge of infrastructure-as-code approaches using Terraform, Bicep, Pulumi, or equivalent technologies.
- Experience implementing monitoring and observability solutions using tools such as Prometheus, Grafana, or similar.
- Familiarity with orchestration platforms including Dagster, Airflow, Prefect, or related technologies.
Desirable experience includes:
- Model serving infrastructure for real-time or batch inference workloads.
- Multi-tenant platform environments.
- Vector databases such as Qdrant.
- Development of high-performance APIs and data-intensive services.
- Broader Azure ecosystem expertise including Azure Container Registry, Azure Blob Storage, Azure Monitor, and Azure Key Vault.
What They Offer
- The opportunity to work on innovative AI and machine learning projects with genuine societal impact.
How to Apply
If you are an experienced Senior MLOps Engineer looking to build scalable AI infrastructure in a collaborative and purpose-driven environment, apply today to discuss the opportunity in more detail.
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
AI Engineer
Amsterdam
€50000 - €70000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
AI Engineer / AI Strategy Specialist
Amsterdam (Hybrid) | Up to €70,000 + Benefits
This is an opportunity to work at the intersection of AI strategy, consulting, and hands-on engineering. You will help organisations unlock value from Large Language Models and modern AI technologies while playing a key role in the growth of an ambitious AI consultancy in the Netherlands.
The Company
They are a specialist AI consultancy focused on helping organisations redesign processes, implement intelligent automation, and create measurable business value through AI. Working across a variety of industries, they deliver end-to-end AI solutions that combine strategic guidance with technical expertise. Their culture is collaborative, innovative, and centred on continuous learning. As they continue to grow, they are looking for an AI Engineer / AI Strategy Specialist to help drive client success and shape their future capabilities.
The Role
You will combine strategy, architecture, and technical delivery to support AI transformation initiatives.
Responsibilities include:
- Developing AI transformation roadmaps aligned to business objectives and high-value use cases
- Translating business challenges into scalable AI solutions
- Advising stakeholders on AI architecture, model selection, tooling, and implementation approaches
- Designing, testing, and deploying Large Language Model solutions
- Leading end-to-end AI projects from discovery through delivery and adoption
- Integrating AI models into existing business systems and workflows
- Monitoring and optimising model performance through continuous evaluation and iteration
- Supporting AI teams and promoting best practices across projects
- Collaborating with software engineering, data science, and product teams
- Contributing to the development of internal AI tools, frameworks, and methodologies
Your Skills & Experience
- Strong technical expertise in AI, Large Language Models, RAG solutions, and modern AI frameworks
- Deep understanding of AI architecture beyond prompt engineering
- Commercial experience with Python and cloud platforms such as Azure
- Experience working with Git-based development workflows
- Proven capability leading complex AI implementations and technical teams
- Strong stakeholder management skills with the ability to communicate technical concepts to non-technical audiences
- Fluent Dutch language skills
- Experience building or contributing to AI-powered applications and solutions
Desirable:
- Experience with agent frameworks, MLOps, data modelling, or machine learning techniques
- Background in AI, Computer Science, Data Science, or equivalent practical experience
- Experience delivering solutions within consulting or enterprise environments
What They Offer
- Salary up to €70,000
- Hybrid working environment
- Opportunity to work on impactful AI transformation programmes
- Access to the latest AI tools, frameworks, and technologies
- Strong learning and development opportunities
- Exposure to a broad range of industries and business challenges
- Clear progression opportunities within a growing organisation
- Competitive benefits package, including potential equity participation
How to Apply
If you are passionate about AI strategy, Large Language Models, and delivering real-world AI solutions, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Senior Machine Learning and AI Lead
Amsterdam
€80000 - €110000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
AI & Machine Learning Lead
Amsterdam, Netherlands | €80,000 – €110,000 base salary + bonus
This is an opportunity to take ownership of AI and machine learning strategy within a highly visible technology business. You’ll have the autonomy to shape technical direction, influence product decisions, mentor a growing team, and drive the adoption of modern AI solutions that directly impact millions of users.
The Company
They are a fast-moving digital business with a flat structure, strong technical culture, and significant market reach. Despite being relatively small in size, they operate at scale and provide a level of influence and visibility that is difficult to find in larger organisations.
The business is investing heavily in the future of AI and machine learning, with a clear ambition to evolve beyond traditional approaches and embed AI more deeply across products and services. This role will play a key part in defining that journey.
The Role
As AI & ML Lead, you will be the technical and strategic authority for machine learning and AI initiatives across the business.
Key responsibilities include:
- Leading, mentoring, and developing a team of Data Scientists
- Defining and owning the AI and machine learning strategy
- Modernising existing recommendation and search capabilities
- Evaluating emerging AI technologies and identifying opportunities for adoption
- Driving AI-first thinking across product and technology teams
- Guiding model selection, evaluation frameworks, and MLOps best practices
- Making informed build vs buy decisions for AI solutions and vendors
- Partnering closely with Product and Engineering leaders to shape roadmaps
- Identifying high-impact use cases across recommendations, search, fraud detection, and behavioural modelling
- Influencing prioritisation decisions through data-driven insights and business impact assessment
- Championing best practices for deploying and maintaining machine learning models in production
Your Skills & Experience
- Strong commercial experience designing, deploying, and scaling machine learning solutions in production environments
- Experience working on recommendation systems, search platforms, ranking models, personalisation, marketplace products, or similar challenges
- Proven ability to define technical strategy and influence business direction
- Experience leading, mentoring, or managing Data Science and Machine Learning teams
- Strong understanding of modern machine learning, MLOps, and production model lifecycle management
- Experience deploying models using modern cloud-based data and AI platforms, ideally including Databricks
- Knowledge of Generative AI, LLM applications, RAG architectures, fine-tuning, or related technologies
- Strong stakeholder management and communication skills
- Ability to work effectively in a fast-paced environment with evolving priorities
What They Offer
- €80,000 – €110,000 base salary
- Total compensation package up to approximately €90,000 – €140,000 including bonus
- Flexible working environment with an office-first culture
- Opportunity to work abroad for up to one month per year
- Relocation support and visa sponsorship available
- Direct access to senior leadership and decision-makers
- Significant ownership of AI strategy, team development, and technology direction
- Clear opportunity to shape the future structure and capability of the AI function
How to Apply
If you are an experienced AI and Machine Learning leader looking to shape strategy, build high-impact products, and drive innovation at scale, please apply today.
To Apply for this Job Click Here
Senior ML Ops Engineer
London
£75000 - £85000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior MLOps Engineer
London (Hybrid) | £75,000 – £85,000 + 10% Bonus
Join a growing AI-focused organisation as a Senior MLOps Engineer, taking ownership of the infrastructure, deployment and orchestration capabilities that support production machine learning services. This is a hands-on role with significant influence over platform direction and engineering standards.
The Company
A data and AI organisation delivering machine learning and analytics solutions at scale. With continued growth and investment in AI capabilities, they are building a modern platform to support an expanding portfolio of products and clients.
The Role
You will:
- Own and develop the infrastructure supporting AI and ML services.
- Build and maintain orchestration pipelines using tools such as Dagster, Airflow or Prefect.
- Deploy, manage and optimise workloads in Kubernetes environments.
- Improve monitoring, observability and platform reliability.
- Implement infrastructure-as-code and CI/CD best practices.
- Partner with software engineers, ML engineers and data scientists to deliver scalable solutions.
Your Skills & Experience
- Strong Python software engineering experience.
- Hands-on MLOps or platform engineering background.
- Experience with ML workflow orchestration tools.
- Production Kubernetes expertise.
- Infrastructure-as-code experience, ideally Terraform or Bicep.
- Knowledge of monitoring, logging and deployment best practices.
- Exposure to Azure and production ML environments is beneficial.
What They Offer
- £75,000 – £85,000 base salary.
- Up to 10% bonus.
- Hybrid working, 1-2 days in the London office.
- Private healthcare and additional benefits.
- Strong opportunity for ownership and career growth.
How to Apply
Apply today to learn more about this Senior MLOps Engineer opportunity.
To Apply for this Job Click Here
Staff AI Engineer
New York
$182545.5 - $304242.5
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior/Staff AI Engineer (Founding Team)
Remote (US) | $150,000 to $220,000 base salary + equity
This is a unique opportunity to join a high-growth AI business at an inflection point in its journey. As part of the founding AI Engineering team, you will play a pivotal role in building production-grade agentic AI systems that deliver measurable value to customers while helping shape the company’s technical direction, engineering standards, and culture from the ground up.
The Company
They are a venture-backed AI company developing next-generation AI infrastructure and intelligent workflow automation products. Rather than applying AI to existing solutions, they are building foundational platforms that enable agent orchestration, automation, and scalable production AI systems. Following recent investment, they are expanding their engineering team and investing heavily in product innovation. Their environment is collaborative, fast-moving, and focused on delivering tangible business outcomes.
The Role
You will work closely with engineering and product leadership to build, deploy, and optimise AI-powered products used in real-world customer environments.
Key responsibilities include:
- Designing and developing production AI features from concept through deployment
- Building agentic workflows and orchestration frameworks
- Developing intelligent automation solutions for complex business processes
- Optimising model performance, latency, reliability, and cost efficiency
- Collaborating with Product teams to measure customer impact and business outcomes
- Contributing across the full software development lifecycle
- Influencing technical architecture, engineering practices, and platform strategy
- Supporting the development of scalable AI systems in a greenfield environment
Your Skills & Experience
You will bring strong commercial software engineering experience combined with hands-on expertise in modern AI technologies.
Key requirements:
- Experience building and deploying production LLM applications
- Expertise in agentic AI systems and workflow orchestration
- Hands-on experience with LangChain or similar orchestration frameworks
- Strong software engineering fundamentals and architecture capabilities
- Experience delivering customer-facing AI products
- Ability to own features and projects end-to-end
- Experience operating effectively within startup or high-growth environments
- Product-focused mindset with an emphasis on measurable outcomes
Desirable experience:
- Multi-agent systems
- Retrieval Augmented Generation (RAG) architectures
- AI evaluation and experimentation frameworks
- Prompt engineering
- MLOps or LLMOps practices
- Cloud-native infrastructure
- Exposure to advertising technology, marketing technology, or automation platforms
What They Offer
- Base salary between $150,000 and $220,000
- Meaningful equity participation
- Fully remote working environment with access to a collaborative engineering community
- Direct exposure to founders and executive leadership
- Significant ownership and autonomy
- Opportunity to influence platform architecture and engineering culture
- Clear progression within a rapidly scaling AI organisation
- Opportunity to work on cutting-edge agentic AI systems with immediate customer impact
How to Apply
If you are excited by the opportunity to build production AI systems, take ownership of complex engineering challenges, and help define the future of intelligent automation, apply today. Based on the experience you bring, candidates will be considered at Senior or Staff level
To Apply for this Job Click Here
Head of AI
New York
$243394 - $425939.5
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Head of AI
Remote (East Coast & Midwest USA) | $250,000 – $325,000 base salary + equity
This is a rare opportunity to shape the AI strategy of a high-growth SaaS business at a pivotal stage of its journey. As Head of AI, you will take ownership of a market-leading document intelligence platform, lead a talented AI and machine learning team, and influence product direction at both technical and executive levels.
The Company
They are a rapidly growing, investor-backed software company transforming how complex financial and regulatory data is processed and managed. Their AI-powered platform automates the extraction, interpretation, and delivery of information from highly unstructured documents, helping clients replace manual workflows with scalable digital solutions.
With strong market traction and continued investment in AI innovation, they are expanding their machine learning capability to further strengthen their product offering and develop new intelligent solutions for their customers.
The Role
As Head of AI, you will combine technical leadership with strategic ownership, acting as a hands-on leader for a growing AI and machine learning function.
Responsibilities include:
- Define and execute the organisation’s AI and machine learning strategy
- Lead, mentor, and develop a team of Machine Learning Engineers, MLOps Engineers, and Data Engineers
- Improve and scale a document intelligence platform focused on extracting structured outputs from complex PDFs and financial documents
- Drive best practices across model development, deployment, monitoring, and evaluation
- Work closely with Product, Engineering, and executive stakeholders to align AI initiatives with business goals
- Evaluate and implement modern AI approaches, including LLMs, agentic AI frameworks, RAG systems, embeddings, and proprietary ML models where appropriate
- Establish robust processes that balance innovation, model accuracy, operational efficiency, and reliability
- Contribute technically through architectural decisions, model reviews, experimentation, and proof-of-concept development
- Help shape future AI products and act as a strategic advisor to senior leadership
Your Skills & Experience
- Strong commercial experience building and deploying machine learning products within a SaaS environment
- Deep expertise in NLP, document intelligence, and transforming unstructured or semi-structured documents into structured data
- Experience developing solutions involving OCR, document parsing, classification, entity extraction, layout understanding, and document-to-JSON transformation
- Strong Python skills and experience with modern machine learning frameworks such as PyTorch, Hugging Face, and scikit-learn
- Experience deploying production ML systems using cloud-native technologies, containerisation, and orchestration platforms
- Proven ability to lead technical teams while remaining hands-on when required
- Strong understanding of the complete machine learning lifecycle from data preparation through deployment and monitoring
- Experience communicating technical concepts to both technical and non-technical audiences
- Background in financial documents, compliance workflows, tax technology, or regulated environments would be advantageous
What They Offer
- Base salary of $250,000 – $325,000
- Meaningful equity package
- Fully remote working within approved East Coast and Midwest locations
- Comprehensive healthcare and retirement benefits
- Generous holiday allowance and parental leave
- Significant autonomy and influence over AI strategy and technology decisions
- Opportunity to build and scale a high-performing AI team
- Clear progression into a key leadership role within a rapidly growing organisation
How to Apply
If you are an experienced AI leader with a passion for building production-grade machine learning systems and shaping the future of intelligent products, apply today to learn more about this opportunity.
To Apply for this Job Click Here
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.
To Apply for this Job Click Here
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