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.
- 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.
- 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.
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.
Data Engineer
Dallas
$80 - $90
+ Data Engineering
ContractDallas, Texas
To Apply for this Job Click Here
Engagement Details
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Type: 12-month contract with potential for extension
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Location: Fully remote; preference for contractors near a central U.S. hub who can occasionally work onsite (2-3 days/week)
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Schedule: Approximately 40 hours per week (may begin at 32 hours)
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Team Structure: Initial group of three engineers, with expected team growth
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Reporting: Works closely with an engagement lead, account manager, and project manager
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Compensation: Targeting $120-160/hr, with a maximum of $220/hr for top-tier profiles
Core Responsibilities
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Deliver end-to-end GenAI solutions, including requirements gathering, architecture, development, testing, deployment, and production support.
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Build sophisticated RAG pipelines and LLM applications that integrate enterprise data and knowledge repositories.
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Implement vector database solutions, agentic frameworks, and prompt orchestration systems to support AI-driven workflows.
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Productionize GenAI applications using best practices for MLOps, CI/CD, automated pipelines, and performance monitoring.
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Collaborate closely with data engineering and platform teams to design scalable, secure, and maintainable architectures.
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Advise clients on tooling, design patterns, deployment strategies, governance, and operational readiness for GenAI systems.
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Provide technical mentorship to internal and client teams adopting GenAI and modern data engineering practices.
Key Technical Requirements
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5+ years of experience in AI/ML engineering, data engineering, software development, or similar technical fields.
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1-2 years of hands-on, production-level experience delivering GenAI solutions (RAG, LLMs, agentic workflows).
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Strong experience with unified data and AI platforms (such as Spark, MLflow, feature stores, and data governance tools).
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High proficiency in Python and common GenAI tooling: LangChain, LLM APIs (OpenAI, Azure, Anthropic), Hugging Face, and vector databases (FAISS, Pinecone, Weaviate, Chroma).
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Solid experience with cloud infrastructure and deployment across AWS, Azure, or GCP, as well as DevOps practices (Git, pipelines, CI/CD).
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Excellent communication skills and comfort operating in client-facing delivery environments.
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Preferred: industry certifications in data engineering, ML engineering, or GenAI engineering.
To Apply for this Job Click Here
Sr. Generative AI Engineer
$85 - $125
+ Data Science & AI
ContractTexas
To Apply for this Job Click Here
Senior Gen AI Engineer
Harnham, a leading recruitment specialist in Data and AI, is partnering with a Databricks consulting firm that delivers enterprise-grade GenAI and LLM solutions for end clients. They are seeking a Senior Gen AI Engineer with at least five years of Databricks experience and the ability to communicate confidently with both technical and non-technical stakeholders. The ideal candidate does not need to come from a specific industry, but must have hands-on production experience with GenAI applications, including RAG systems, LLM development, or agentic frameworks.
This role can be performed remotely or in a hybrid capacity from Dallas, Texas (2-3 days onsite). It is a 12-month contract with strong potential for extension, offering $85-$125 per hour for 40 hours per week. W2 employees are eligible for health, dental, vision, and 401(k) benefits.
As a Senior Gen AI Engineer, you will drive end-to-end delivery of GenAI projects within the Databricks ecosystem, working closely with both Databricks teams and end clients. Responsibilities include scoping, building, and deploying GenAI solutions; developing RAG and LLM-based applications that leverage enterprise data; integrating vector databases and agentic frameworks such as LangChain; and optimizing LLM workflows for production. You will help clients productionize GenAI systems using best practices in MLOps, CI/CD, and data pipeline automation, while collaborating with broader data teams on architecture, tooling, and governance. This role also includes providing mentorship and helping clients adopt Databricks-native GenAI capabilities effectively.
Qualified candidates will have 5+ years of experience in AI/ML engineering or data systems, including at least 1-2 years of hands-on GenAI production work. Strong Databricks proficiency is essential, including Spark, MLflow, and Unity Catalog. Candidates should also be skilled in Python, LangChain, OpenAI APIs, Hugging Face, and vector databases such as FAISS, Pinecone, Weaviate, or Chroma. A solid understanding of cloud platforms (AWS, Azure, or GCP) and DevOps tooling is required, along with excellent communication skills for client-facing delivery. Preferred certifications include Databricks ML Engineer, Databricks GenAI Engineer, or Databricks Data Engineer.
This opportunity is ideal for someone who has successfully designed, built, and deployed generative AI solutions and wants to apply that expertise in a hands-on consulting environment.
To Apply for this Job Click Here
MLOPs Engineer
London
£480 - £640
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
MLOps Engineer
Outside IR35 – 500-600 Per Day
Ideally, 1 day per week/fortnight in the office, flexibility for remote work for the right candidate.
A market-leading global e-commerce client is urgently seeking a Senior MLOps Lead to establish and drive operational excellence within their largest, most established data function (60+ engineers). This is a mission-critical role focused on scaling their core on-site advertising platform from daily batch processing to real-time capability.
This role suits a hands-on MLOps expert who is capable of implementing new standards, automating deployment lifecycles, and mentoring a large engineering team on best practices.
What you’ll be doing:
MLOps Strategy & Implementation: Design and deploy end-to-end MLOps processes, focusing heavily on governance, reproducibility, and automation.
Real-Time Pipeline Build: Architect and implement solutions to transition high-volume model serving (10M+ customers, 1.2M+ product variants) to real-time performance.
MLflow & Databricks Mastery: Lead the optimal integration and use of MLflow for model registry, experiment tracking, and deployment within the Databricks platform.
DevOps for ML: Build and automate robust CI/CD pipelines using GIT to ensure stable, reliable, and frequent model releases.
Performance Engineering: Profile and optimise large-scale Spark/Python codebases for production efficiency, focusing on minimising latency and cost.
Knowledge Transfer: Act as the technical lead to embed MLOps standards into the core Data Engineering team.
Key Skills:
Must Have:
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MLOps: Proven experience designing and implementing end-to-end MLOps processes in a production environment.
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Cloud ML Stack: Expert proficiency with Databricks and MLflow.
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Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets.
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Core Engineering: Strong experience with GIT for version control and building CI/CD / release pipelines.
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Data Fundamentals: Excellent SQL skills.
Nice-to-Have/Desirable Skills
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DevOps/CICD (Pipeline experience)
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GCP (Familiarity with Google Cloud Platform)
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Data Science (Good understanding of math/model fundamentals for optimisation)
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Familiarity with low-latency data stores (e.g., CosmosDB).
If you have the capability to bring MLOps maturity to a traditional Engineering team using the MLFlow/Databricks/Spark stack, please email: with your CV and contract details.
To Apply for this Job Click Here
Senior Data Scientist
Amsterdam
€60000 - €100000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Senior Data Scientist – End-to-End Machine Learning & Behavioural Data#
This organisation are seeking an experienced Senior Data Scientist to join their dynamic team. This role focuses on end-to-end productionising of machine learning models and leveraging behavioural data to drive actionable insights and innovative solutions.
The ideal candidate has a strong background in applied machine learning, including hands-on experience with Natural Language Processing (NLP), and is comfortable taking projects from concept through to production. They thrive in a collaborative environment, translating complex data into meaningful business outcomes and working closely with cross-functional teams to implement scalable solutions.
Key Responsibilities:
- Develop, deploy, and maintain end-to-end machine learning models, ensuring robust production performance.
- Analyse and derive insights from behavioural data to inform business decisions.
- Apply NLP techniques to extract value from text-based datasets.
- Collaborate with engineering and product teams to integrate models into live systems.
- Continuously monitor, evaluate, and optimise models to maintain accuracy, efficiency, and scalability.
Qualifications & Experience:
- Proven experience in end-to-end machine learning development and model deployment.
- Strong background in behavioural data analysis.
- Hands-on experience with NLP, including text preprocessing, embeddings, and relevant model architectures.
- Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Familiarity with cloud-based ML infrastructure and MLOps best practices.
- Excellent problem-solving skills and the ability to communicate complex findings to non-technical stakeholders.
To Apply for this Job Click Here
Director of (Platform, Compute, DevOps) Product Management
London
£120000 - £145000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Director of (Platform, Compute, Infrastructure, DevOps) Product Management
Hybrid – London (2 days per week)
£145,000 + Car Allowance + 18% Bonus + Equity
Are you an accomplished product leader ready to define how world-class compute, infrastructure, and DevOps platforms power AI and scientific discovery at global scale?
We’re partnering with a pioneering research-driven organisation investing heavily in AI, ML, and next-generation cloud infrastructure, now seeking a Director of (Platform, Compute, Infrastructure, DevOps) Product Management to lead a portfolio that underpins one of the world’s most advanced digital R&D ecosystems.
Why this role?
- Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science.
- Build and mentor a team of high-performing Product Managers, setting standards for excellence and delivery.
- Collaborate with engineering, data science, and research leaders to ensure platforms scale securely and efficiently across global teams.
- Shape the vision for the Onyx Research Data Platform, a foundational capability driving next-generation innovation.
- Hybrid flexibility – 2 days per week in the London office, balance your week remotely.
What you’ll be doing:
- Defining and executing the platform product roadmap across compute, DevOps, and cloud infrastructure.
- Partnering with engineering leadership to deliver scalable platform products that enable scientific and AI workloads.
- Establishing clear goals, metrics, and success criteria for adoption, performance, and business impact.
- Acting as the senior stakeholder interface, communicating technical strategies to executive and business audiences.
- Driving product lifecycle excellence – discovery, delivery, release, adoption, and iteration.
- Mentoring PMs, instilling strong product thinking and alignment with agile principles.
What we’re looking for:
- 8+ years’ experience in product management, with a strong track record of delivering internal platform or developer-focused products.
- Deep understanding of cloud computing, infrastructure-as-code, DevOps tooling, and data/AI platforms.
- Hands-on experience with one or more of: AWS, Azure, GCP, Kubernetes, Terraform, Databricks, or Vertex AI.
- Proven ability to collaborate with engineering and research teams to align platform capabilities with end-user needs.
- Skilled in stakeholder management and influencing at C-suite level.
- A strategic yet pragmatic mindset – able to balance innovation with execution.
✨ Nice-to-haves:
- Experience leading platform or DevOps product teams in life sciences, research, or AI-driven organisations.
- Familiarity with MLOps, GenAI, and large-scale compute orchestration.
- Background in computer science, engineering, or a related technical discipline.
Package & Benefits:
- Base salary up to £145,000.
- Car allowance, 18% bonus, and equity participation.
- Hybrid working – 2 days per week in London.
- Comprehensive benefits including private healthcare and pension.
- Opportunity to shape the future of AI-ready infrastructure that powers scientific discovery globally.
To Apply for this Job Click Here
Senior MLOps Engineer
New York
$225000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior MLOps Engineer
New York, New York
$225,000-250,000 base salary + equity; $300,000-$350,000 total
THE COMPANY
Harnham is partnering with a unicorn AI adtech that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for machine learning model deployment and scalability for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
- Own CI/CD pipelines for MLOps / LLMOps
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business
YOUR SKILLS AND EXPERIENCE
The successful Senior MLOps Engineer will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on building and deploying machine learning and LLM models
- Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- History of working with and managing real-time AI applications in production settings
- Fluency with low-latency distributed systems is preferred
- Cloud experience in AWS, Azure or GCP
- DevOps experience with CI/CD pipelines required
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in adtech or similar a plus
- History of partnering with non-technical stakeholders required
- Experience owning projects directly preferred
- BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $225,000-250,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Adtech | Advertising | Unicorn | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Distributed Systems | Low Latency | Real-time | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | Real Time Bidding | Auction | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience
To Apply for this Job Click Here
Manager, AI Platform Engineering
Toronto
$190000 - $220000
+ Data Science & AI
PermanentToronto, Ontario
To Apply for this Job Click Here
Manager, AI Platform Engineering
$190,000-$220,000 + bonus + RSUs
3 days hybrid – Toronto, Ontario
About the Organization
Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a player/coach position, focusing on model deployment-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead a team of MLOps engineers on experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.
What You’ll Bring
- 7+ years of software engineering experience in production environments
- 2+ years of team management experience working with AI / ML systems (Python)
- Experience with ModelOps / MLOps / AIOps workflows
- Background in:
- NLP: Named Entity Recognition / NER, information extraction, and information retrieval
- Numpy, Pandas, and scalable data handling
- Cloud environments (provider-agnostic)
- CI/CD pipelines, GitFlow, and Agile development
- Logging, alerting, testing, and autoscaling systems
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
Preferred Experience
- Technical leadership on AI / ML products
- Experience delivering LLM-based solutions
- Engineering management experience, including mentoring or leading cross-functional teams
- Familiarity with all stages of the AI product lifecycle
- Startup or fast-paced innovation environment experience
- People management of teams greater than 3
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | AIOps | Platform | Infrastructure | Scalability | Production | Machine Learning Operations | AI | Artificial Intelligence | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval
To Apply for this Job Click Here
Data Scientist / Software Engineer (AI)
New York
$65 - $90
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Data Scientist / Software Engineer (AI)
Lead Software Engineer (AI) position having experience in classic and generative AI techniques, and responsible for design, implementation, and support of Python based applications.
What you’ll do:?
- Deliver client engagements that use AI rapidly, on the order of a few weeks
- Stay on top of current tools, techniques, and frameworks to be able to use and advise clients on them
- Build proofs of concept rapidly, to learn and adapt to changing market needs
- Support building internal applications for use by associates to improve productivity
What you’ll need:
7+ years of experience in classic AI techniques and at least 1.5 years in generative AI techniques. Demonstrated ability to run short development cycles and solid grasp of building software in a collaborative team setting.
Must have:
- Experience building applications for knowledge search and summarization, frameworks to evaluate and compare performance of different GenAI techniques, measuring and improving accuracy and helpfulness of generative responses, implementing observability.
- Experience with agentic AI frameworks, RAG, embedding models, vector DBs
- Experience working with Python libraries like Pandas, Scikit-Learn, Numpy, and Scipy is required.
- Experience deploying applications to cloud platforms such as Azure and AWS.
- Familiarity with AWS Bedrock / Azure AI / Databricks Services.
- Solid grasp of building software in a collaborative team setting – use of agile scrum and tools like Jira / GitHub.
- Demonstrated ability to run short development cycle.
- Excellent written, verbal, and interpersonal communication skills with the ability to present technical information in a clear and concise manner to IT Leaders and business stakeholders.
Nice to have:
- Experience in finetuning Language models.
- Experience in MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc.,
- Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning.
- Experience building scalable data models and performing complex relational databases queries using SQL (Oracle, MySQL, PostgreSQL).
Who you are:
- Effective time management skills and ability to meet deadlines.
- Excellent communications skills interacting with technical and business audiences.
- Excellent organization, multitasking, and prioritization skills.
- Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly.
- Intellectual curiosity, passion for technology and keeping up with new trends.
- Delivering project work on-time within budget with high quality.
To Apply for this Job Click Here
Data Engineer
New York
$200000 - $250000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Staff Data Engineer
Research & Analytics
New York, NY (Hybrid)
$200,000-$250,000 + Bonus
Organization
We are supporting a top-tier real estate and logistics technology company that leverages data intelligence, automation, and cloud infrastructure to enhance investment decisions, streamline operations, and strengthen asset performance. With a major industrial footprint across the U.S., they are accelerating the adoption of advanced analytics and sustainable technologies to drive full lifecycle value.
Role
In this Staff Data Engineer position, you will be a key architect of the company’s evolving analytics and research data environment. You’ll build and enhance large-scale data pipelines, elevate automation and system robustness, and develop the core platforms that enable analytics and machine learning at scale. You’ll partner with researchers, data scientists, and engineering leads to set data standards, improve quality, and ensure rapid delivery of trusted insights across the organization.
Requirements
- Deep expertise with Azure Databricks and Spark (PySpark)
- Advanced SQL and Python for large-scale ETL, automation, and performance tuning
- Practical experience using dbt and Snowflake in production systems
- Solid understanding of CI/CD workflows, MLOps, and orchestration frameworks
- Proven ability to scale and improve reliability of modern data infrastructure
- Strong communication and stakeholder engagement skills
- Bonus: Experience building internal data tools or dashboards (e.g., Streamlit)
Tech Stack
Azure Databricks, Spark (PySpark), SQL, Python, dbt, Snowflake, Power BI, Streamlit, Azure Data Services, CI/CD
Benefits
- $200,000-$250,000 base compensation + annual bonus
- Robust medical, financial, and wellness offerings
How to Apply
Upload your resume using the Apply link provided.
Key Words
Staff Data Engineer, Azure Databricks, PySpark, Data Pipelines, CI/CD, MLOps, Automation, Snowflake, dbt, Analytics Engineering, Real Estate Tech, Infrastructure Modernization
To Apply for this Job Click Here
Software Development Manager, AI
Toronto
$180000 - $220000
+ Data Engineering
PermanentToronto, Ontario
To Apply for this Job Click Here
Software Development Manager – AI
AI / Product Engineering
Hybrid – Toronto, ON
$180,000 – $220,000 Base + Bonus
The Company
We’re partnered with a global leader in legal technology that’s transforming how professionals access and apply legal insights. Through cutting-edge AI and data-driven solutions, the organization helps streamline complex workflows and deliver actionable intelligence across the legal ecosystem.
Their dedicated innovation lab operates like a startup within the company, focusing on applied machine learning and generative AI to reimagine search, discovery, and knowledge management for legal practitioners.
The Role
They’re seeking a Software Development Manager to lead engineering efforts for a flagship AI-powered legal research platform. You’ll guide a cross-functional team building enterprise-scale applications that blend robust backend systems with modern, intuitive UIs.
This is a hybrid role (2-3 days per week onsite in Minneapolis) ideal for a leader who thrives at the intersection of hands-on technical direction, team development, and product innovation.
Key Responsibilities
- Lead and develop a team of 4-8 engineers, fostering collaboration and technical excellence
- Oversee the design and implementation of scalable UI and backend systems using modern frameworks
- Partner with Product, Design, and Engineering leadership to define vision and technical strategy
- Drive execution from concept through deployment, ensuring quality and timely delivery
- Mentor engineers, establish best practices, and support ongoing career development
- Leverage metrics and data insights to track progress and impact
- Contribute to architecture decisions and DevOps best practices
What You’ll Bring
- 7+ years of professional software engineering experience, including ~3 years leading teams (open to Tech Leads with people management exposure)
- Proven background building scalable, enterprise-grade applications
- Backend proficiency in Python (Django, Flask, or FastAPI)
- Frontend experience with React, Angular, TypeScript, and Node.js
- Hands-on experience with RESTful APIs, data pipelines, and MLOps
- Cloud expertise in AWS (preferred), Azure, or GCP
- Familiarity with DevOps practices (CI/CD, infrastructure as code)
- Exposure to AI and GenAI frameworks (TensorFlow, PyTorch, Hugging Face, RAG, prompt engineering)
- Bachelor’s degree in Computer Science or related field (Master’s preferred)
The Benefits
- Comprehensive health, dental, and vision coverage
- Flexible PTO and strong work-life balance
Keywords: Software Development, Engineering Management, Python, Django, Flask, FastAPI, React, Angular, Node.js, TypeScript, REST APIs, AWS, Cloud Infrastructure, CI/CD, DevOps, MLOps, Data Engineering, AI, Generative AI, LegalTech, Enterprise Software
To Apply for this Job Click Here
Senior Software Engineer – MLOps
New York
$200000 - $250000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Senior Software Engineer
New York, NY (4 days on-site)
$200,000-$300,000 + bonus + RSUs
The Company
We’re partnering with a rapidly growing e-commerce technology company that’s redefining how personalization happens in real time. Their platform processes hundreds of thousands of events per second, using advanced data infrastructure and machine learning to deliver relevant, high-value experiences to customers at the moment of engagement.
The Role
We are looking for a strong backend engineer with expertise in both large-scale distributed systems and MLOps.
The Real-Time Relevance team builds the core systems that make these experiences possible-low-latency, high-availability distributed services that power real-time decisioning at scale. As a Senior Backend Engineer, you’ll work at the intersection of backend systems and machine learning infrastructure, building the foundation for fast and accurate responses across billions of events.
You’ll help evolve the company’s feature store service, which provides real-time, low-latency data features to models and other services across the business. The work spans from backend systems design to MLOps-training, deploying, and maintaining models in production environments.
Responsibilities
- Design, build, and maintain backend systems for real-time relevance and ML feature serving
- Develop low-latency, high-throughput distributed systems in Go
- Collaborate closely with ML teams to operationalize models and build reliable MLOps pipelines
- Improve the scalability, reliability, and performance of services that operate at massive scale
- Contribute to the design of real-time data pipelines and feature stores using PySpark and Scala
- Take ownership of projects from design through production within a fast-moving development cycle
Tech Stack
Golang, PySpark, Scala, Spark, Kubernetes, Kafka, and other modern distributed systems tools
Ideal Background
You have deep experience in backend engineering and have worked on systems that move and process large volumes of data in real time. You’re comfortable designing distributed systems that prioritize scale, latency, and reliability, and have worked closely with ML or data teams to build infrastructure that supports production-grade machine learning. Experience in fast-paced, high-performance engineering environments such as top-tier startups or large-scale tech companies is highly valued.
Why Apply
This is a hands-on engineering role with a team that’s shaping the next generation of real-time personalization systems. You’ll have the opportunity to build critical infrastructure, collaborate with world-class engineers, and take on projects that have direct, measurable impact at scale.
To Apply for this Job Click Here
Staff Data Engineer
New York
$200000 - $250000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Staff Data Engineer
Research & Analytics Team
New York, NY (Hybrid)
$200,000-$250,000 + Bonus
The Company:
We’re partnering with a leading real estate and logistics platform that leverages data and technology to drive investment, operations, and portfolio growth. The company manages a large U.S. industrial footprint and uses advanced analytics, automation, and cloud infrastructure to enhance performance, efficiency, and sustainability. As a portfolio company of one of the world’s leading asset wealth management firms, this company has a strong foundation and is looking to continue disrupting the space with innovation.
The Role:
As the Staff Data Engineer, you’ll play a key role in shaping the company’s analytics and research data ecosystem. You’ll design and modernize large-scale data pipelines, improve automation and reliability, and build a robust foundation for analytics and machine learning. Partnering closely with data scientists, researchers, and technology teams, you’ll help define best practices, elevate data quality, and ensure that insights are delivered quickly and accurately across the business.
Requirements:
- Expertise with Azure Databricks and Spark (PySpark)
- Advanced SQL and Python skills for large-scale transformation and automation
- Proficiency with dbt, Snowflake, and Power BI integrations
- Strong understanding of MLOps, CI/CD, and workflow orchestration
- Experience improving data infrastructure performance and reliability
- Collaborative communicator who can translate technical work into business impact
- Bonus: Experience building internal tools or dashboards using Streamlit
Tech Stack:
Azure Databricks, Spark (PySpark), SQL, Python, dbt, Snowflake, Streamlit, Power BI, Azure Data Services, CI/CD tools
The Benefits:
$200,000-$250,000 base salary + bonus, with a comprehensive benefits package.
How to Apply:
Submit your resume through the Apply link on this page.
Key Words:
Staff Data Engineer, Azure Databricks, PySpark, dbt, Snowflake, MLOps, CI/CD, Real Estate, Analytics, Data Infrastructure, Pipeline Automation, Machine Learning Engineering
To Apply for this Job Click Here
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Frequently Asked Questions: Machine Learning Operations
Testimonials
Client and
candidate
testimonials
A trusted partner of professionals
across the globe.
We understand the challenges our
customers face and offer the
recruitment solutions needed to drive
business success through Data &
AI.
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
