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.
Senior Machine Learning Engineer (Fully Remote)
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Location: Remote (with optional hybrid New York)
Salary: Salary up to $220,000
THE COMPANY
Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.
THE ROLE
As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.
RESPONSIBILITIES
- You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
- You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
- You will develop feature engineering workflows using PySpark and embedding techniques.
- You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
- You will implement monitoring and observability solutions to track model performance and system health.
- Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.
REQUIREMENTS
- MSc or PhD in Computer Science, Machine Learning, or related field.
- Strong ML engineering with strong proficiency in PyTorch.
- Hands-on experience with Databricks.
- Expert-level Python and PySpark skills for large-scale data processing.
- Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
- Strong understanding of CI/CD workflows and best practices.
BENEFITS
- Competitive salary and bonus structure.
- Comprehensive health coverage.
- Generous PTO and company holidays.
- Flexible remote working options.
HOW TO APPLY
If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.
To Apply for this Job Click Here
Senior Data Scientist – Working with Behavioural Data and AI
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
Machine Learning Engineer
London
£75000 - £90000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Machine Learning Engineer
London – (3 days a week in office)
Up to £90,000
About the Role
Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible business impact.
As a Machine Learning Engineer, you’ll work closely with Data Scientists, Data Engineers and delivery teams to productionise models and build robust, scalable ML systems within client environments. This role is highly hands-on, with a strong focus on deployment, performance and reliability.
Key Responsibilities
- Translating data science models into scalable, production-ready machine learning solutions.
- Designing and building end-to-end ML pipelines, from data ingestion to deployment and monitoring.
- Collaborating with data engineers on data architecture, pipelines and feature stores.
- Working closely with data scientists to productionise models and improve performance.
- Deploying, monitoring and maintaining machine learning models in live environments.
- Implementing testing, validation and monitoring frameworks to ensure model reliability and impact.
Your work will focus on delivering high-value ML solutions, including:
- Productionising optimisation and predictive models at scale.
- Building systems to anticipate and prevent operational downtime.
- Deploying churn and customer behaviour models into live decision-making systems.
- Enabling next-best-action and recommendation engines for commercial teams.
- Supporting geospatial and advanced analytical models with robust ML infrastructure.
What We’re Looking For
- 2+ years’ experience building and deploying production machine learning systems.
- A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
- Strong Python skills and experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch).
- Experience with model deployment, monitoring and ML pipelines (e.g. CI/CD, MLOps concepts).
- A collaborative mindset with strong communication skills and experience working in cross-functional teams.
If this role looks of interest, apply below.
To Apply for this Job Click Here
Senior AI Scientist
London
£70000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Scientist
London – (Hybrid, 3 days a week in office)
Up to £80,000 + benefits
About the Role
Our client is a data-led organisation that has made significant investment in modern data and AI capabilities. With a mature data platform and strong executive buy-in, they are now focused on embedding advanced AI into both customer-facing products and internal decision-making tools.
As a Senior AI Scientist, you’ll play a key role in designing, building and deploying applied AI systems, with a particular focus on large language models (LLMs), retrieval-augmented generation (RAG), and conversational AI. This is a hands-on role operating across the full AI lifecycle, from experimentation and prototyping through to production deployment.
You’ll work closely with product, engineering and business teams to ensure AI solutions are practical, scalable and deliver clear commercial and customer impact.
Key Responsibilities
- Leading the development of AI proof-of-concepts and production systems, including LLM-powered assistants and chatbots.
- Designing and implementing RAG pipelines using vector search, embeddings and knowledge retrieval strategies.
- Fine-tuning, evaluating and deploying language models, with a focus on response quality, reliability and performance.
- Building agentic workflows and conversational flows for both customer-facing and internal use cases.
- Defining evaluation frameworks and quality metrics for AI-generated outputs.
- Collaborating with product and engineering teams to integrate AI solutions into live systems.
- Contributing to AI architecture decisions and mentoring more junior engineers and data scientists.
Your work will focus on delivering high-impact AI solutions, including:
- Customer and internal chatbots powered by LLMs.
- Intelligent knowledge retrieval and question-answering systems.
- Voice and chat-based automation to reduce cost-to-serve.
- AI tools that improve customer experience, retention and operational efficiency.
What We’re Looking For
- Strong experience building applied AI or machine learning systems in production environments.
- Advanced Python skills and hands-on experience with modern AI tooling (e.g. LLM frameworks, vector databases, orchestration libraries).
- Practical experience with LLMs, RAG architectures, embeddings and transformers.
- Experience deploying models using cloud infrastructure and working with microservices or APIs.
- Familiarity with MLOps concepts such as monitoring, evaluation and continuous improvement.
- Strong communication skills and the ability to translate business problems into AI-driven solutions.
- A collaborative mindset and experience working with both technical and non-technical stakeholders.
If this role looks of interest, apply below.
To Apply for this Job Click Here
AI Engineer
Manchester
£70000 - £80000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior AI Engineer – 2 days Manchester
You will be responsible for designing and delivering production-ready AI and ML solutions that drive business value. This role focuses on building scalable data pipelines, deploying machine learning models, and embedding AI into products and decision-making.
Responsibilities
- Build and maintain end-to-end AI/ML pipelines
- Develop, deploy and monitor machine learning models
- Apply MLOps best practices including CI/CD
- Collaborate with data, analytics and engineering teams
- Ensure data governance, security and responsible AI
Experience
- Strong experience in ML engineering and data pipelines
- Python, SQL and Git proficiency
- Hands-on use of ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
To Apply for this Job Click Here
Sr. ML Engineer (NLP/LLM)
New York
$200000 - $300000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Sr. NLP / LLM Engineer
Location: Hybrid NYC
Role Type: Full-Time
Compensation: $200k – $300k base + bonus
About the Role
We are looking for an NLP / LLM Engineer to design, build, and deploy language-driven AI systems into production. You will work on large language models, retrieval-augmented generation (RAG), and NLP pipelines that power real-world products. This role blends applied research with hands-on engineering and production ownership.
Responsibilities
-
Design, fine-tune, and evaluate LLMs for NLP use cases such as search, summarising, classification, and conversational AI.
-
Build and optimize RAG pipelines using vector databases, embeddings, and retrieval strategies.
-
Develop prompt engineering, evaluation, and guardrail frameworks for reliability and safety.
-
Deploy NLP/LLM models into production environments and support ongoing optimization.
-
Collaborate with product, data, and platform teams to translate business needs into ML solutions.
-
Monitor model performance, drift, and quality using robust evaluation metrics.
Qualifications
-
Strong experience in NLP and machine learning, with hands-on work on LLMs.
-
Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or similar).
-
Experience with embeddings, vector search, and retrieval systems.
-
Familiarity with LLM fine-tuning techniques (LoRA, adapters, quantization).
-
Experience deploying ML models into production environments.
-
Solid understanding of NLP fundamentals (tokenization, transformers, evaluation metrics).
-
Experience training or fine-tuning proprietary models.
-
Experience building agentic or multi-step LLM applications.
-
Experience with LangChain, LangGraph, or similar orchestration frameworks.
-
Experience with MLOps, CI/CD, and cloud platforms (AWS, GCP, Azure).
To Apply for this Job Click Here
Principal AI/Software Engineer
€80000 - €100000
+ Advanced Analytics & Marketing Insights
PermanentNetherlands
To Apply for this Job Click Here
Job Opportunity: Principal AI Engineer | Remote or Hybrid
Location: Remote or Hybrid (HQ in [City])
Role Type: Full-Time
Seniority: Principal / Expert
Start Date: ASAP
About the Company
The company is expanding its AI capabilities to build innovative, intelligent systems that power next-generation products and experiences. With an ambitious roadmap centered on generative AI, advanced machine learning, and large-scale automation, they are seeking a highly experienced Principal AI Engineer to lead technical strategy, guide system architecture, and drive innovation across the organization.
This is a pivotal role that will shape the long-term AI direction, influence key engineering decisions, and deliver solutions that have significant impact on the company’s technical evolution.
The Role
The Principal AI Engineer will act as a hands-on technical leader, responsible for designing, developing, and scaling advanced AI systems. The role involves high-level architectural thinking, applied research, and deep technical execution, including oversight of model development, evaluation, deployment, and optimization.
The successful candidate will collaborate with engineering, data, and product stakeholders to define the AI vision while also mentoring teams and setting engineering standards that enable excellence and innovation.
Key Responsibilities
- Lead the design and development of complex AI systems, including generative AI models, LLM-powered applications, and large-scale machine learning infrastructures.
- Define and drive the company’s AI technical strategy, ensuring alignment with business goals.
- Oversee model experimentation, fine-tuning, evaluation, and deployment into production environments.
- Set best practices for ML engineering, model lifecycle management, security, and governance.
- Provide expert guidance on architecture decisions across data, ML, and application layers.
- Collaborate with cross-functional teams to identify high-impact AI opportunities and translate them into technical solutions.
- Mentor and support engineering teams, elevating technical capabilities across the organization.
- Stay ahead of industry developments, research breakthroughs, and emerging AI frameworks.
Required Experience
- 7+ years of experience in AI/ML engineering, with a strong track record of delivering production-grade AI systems.
- Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow, JAX).
- Extensive hands-on experience working with large language models, generative AI architectures, and related tooling.
- Strong knowledge of model serving, orchestration, distributed training, and scalable inference systems.
- Experience architecting and deploying AI solutions on cloud platforms (AWS/GCP/Azure).
- Proven ability to lead complex AI initiatives, influence technical direction, and guide multidisciplinary teams.
- Strong understanding of data engineering, MLOps, model governance, and ML lifecycle best practices.
- Ability to thrive in a fast-paced environment and navigate ambiguous, greenfield challenges.
What the Company Offers
- A strategic role with significant influence over the AI roadmap and technical foundations.
- Competitive salary, equity, and comprehensive benefits.
- Flexible remote or hybrid working environment.
- Opportunities to work with state-of-the-art AI technologies and contribute to groundbreaking products.
- A culture that values innovation, autonomy, and continuous learning.
To Apply for this Job Click Here
Machine Learning Engineer
€80000 - €81000
+ Data Science & AI
PermanentNetherlands
To Apply for this Job Click Here
Machine Learning Engineer (Mid-Level) – Remote
Gaming Start-Up | Full-Time | Anywhere
Are you excited by the intersection of AI and gaming? Do you want to help shape the future of interactive entertainment at a fast-moving start-up? We’re looking for a Mid-Level Machine Learning Engineer to join our fully remote team and help us build intelligent, player-centric systems that power the next generation of gaming experiences.
About Them
They are an ambitious gaming start-up building innovative, data-driven gameplay systems. Our mission is to create games that feel alive-powered by adaptive AI, real-time insights, and scalable cloud technologies. As a small and collaborative team, every voice matters and every engineer has a direct impact on the product.
What You’ll Do
As a Machine Learning Engineer, you will:
- Design, build, and deploy ML models for gameplay, personalization, prediction, and player behavior analysis
- Collaborate with game designers, backend engineers, and data teams to integrate ML into live game systems
- Develop scalable ML pipelines using Google Cloud Platform (GCP) services (Vertex AI, BigQuery, Cloud Run, etc.)
- Work with real-time and batch data to support analytics and in-game decision systems
- Maintain and improve MLOps workflows for training, evaluation, deployment, and monitoring
- Contribute to a culture of experimentation, rapid iteration, and creative problem-solving
️ What They’re Looking For
Required:
- 2-4+ years of experience in Machine Learning or Data Science engineering roles
- Strong programming skills in Python
- Hands-on experience with GCP (Vertex AI, BigQuery, Dataflow, Cloud Storage, etc.)
- Experience building and deploying ML models in production
- Familiarity with modern ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Understanding of data processing, pipelines, and MLOps best practices
- Ability to work independently in a remote environment and collaborate asynchronously
Nice to Have:
- Experience working in gaming or interactive media
- Knowledge of reinforcement learning, player modeling, or recommendation systems
- Experience with real-time systems or streaming data (e.g., Pub/Sub, Kafka)
- Passion for games and gameplay design#
Why You’ll Love Working With them
- Fully remote team – work from anywhere
- A chance to be an early team member in a rapidly growing gaming start-up
- High ownership, high impact, and opportunities to shape the direction of ML in our products
- Flexible hours, supportive culture, and a team that values creativity and innovation
- Competitive salary + equity package
To Apply for this Job Click Here
Data Engineer (Consultant)
$75 - $120
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Data Engineer (Consultant) – Professional Services
Role Overview
As a Consulting Data Engineer, you’ll play a pivotal role in helping enterprises modernize how they manage and utilize big data and AI. You’ll partner closely with clients to design modern data architectures, guide cloud and platform migrations, and build advanced analytics solutions that generate real business impact. This role goes beyond technical delivery-you’ll help organizations transform their data into actionable insights and drive meaningful innovation. If you thrive in dynamic environments, enjoy solving complex challenges, and want to make a measurable impact, this position offers an exciting opportunity.
What You’ll Do
In this role, you’ll lead high-impact projects that enable clients to modernize their data platforms and accelerate AI adoption. You’ll design and implement scalable, cloud-based architectures that support advanced analytics and machine learning initiatives, while collaborating with technical teams and business stakeholders to ensure seamless delivery and tangible results. You’ll act as a trusted advisor, guiding clients through data migrations, deployments, and best practices, and you’ll contribute insights and feedback to improve solution quality and ongoing innovation.
What We’re Looking For
We’re seeking someone with at least six years of experience in data engineering, analytics, or cloud architecture, along with strong coding skills in Python or Scala. You should have expertise with at least one major cloud platform-AWS, Azure, or GCP-and familiarity with others. Deep knowledge of distributed computing frameworks like Apache Spark is essential, as is experience with CI/CD, MLOps, and architecting end-to-end data solutions. Databricks experience is a must. Exceptional communication and problem-solving abilities are also critical for success in this role.
Contract Details
This is a contract role with an initial six-month term, full-time at 40 hours per week, with a strong possibility for extension.
Why Join Us?
You’ll work on projects that shape the future of data and AI while collaborating with passionate experts who prioritize continuous learning and innovation. Your work will deliver measurable impact for organizations looking to harness the full potential of their data. If this excites you, we encourage you to apply.
Please Note
We will not be utilizing third-party agencies for this role.
To Apply for this Job Click Here
Senior DataOps Engineer
Leeds
£62000 - £62000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Senior Data Ops Engineer
Based: Leeds – hybrid
Salary: up to £62,000
I’m partnered with an established FS company who are scaling their cloud-native data platform and building a modern, centralised data function to better support a wide community of Data Scientists, Analysts, and federated Data Engineers across the organisation.
They are looking for a Senior DataOps Engineer to help shape how data pipelines are run, monitored, governed, and optimised at scale.
This is an opportunity to join a growing team working at the heart of the organisation’s data transformation, improving platform efficiency, enabling self-service, and ensuring data pipelines operate with the same discipline as production software.
The Role
As a Senior DataOps Engineer, you’ll take a strategic, high-level view of the data platform while still diving deep when needed. You will focus on observability, automation, pipeline performance, operational excellence, and cloud cost optimisation.
You’ll work cross-functionally with Data Engineering, DevOps, and FinOps teams, helping ensure that data services are reliable, scalable, secure and cost-effective, and that federated teams across the organisation can self-serve with confidence.
What You’ll Be Doing
- Taking an overview of how pipelines run across the platform, improving performance and throughput
- Enhancing observability and monitoring across Azure-based data workloads
- Identifying bottlenecks and opportunities to streamline operational processes
- Using scheduling/orchestration tools to optimise workflows and improve run times
- Treating data pipelines like production-grade software with robust monitoring, automation, and scalability in mind
- Supporting incident management and helping federated teams resolve issues efficiently
- Driving efficiency through automation and reduction of manual operational overhead
- Working with FinOps practices to optimise spend and evaluate cost-performance trade-offs
- Advocating for better platform usage, adoption, and operational best practices
Tech Stack & Skills
Essential
- Strong experience working with Azure cloud platform
- Background in data engineering and building/maintaining data pipelines
- Experience with pipeline monitoring, observability, and incident troubleshooting
- Strong automation mindset and ability to build resilient, self-healing data workflows
Nice to Have
- Knowledge of FinOps principles and cloud cost optimisation
- Experience with orchestration tools such as Azure Data Factory, Databricks Workflows, or Airflow
- Exposure to containerisation tools (Kubernetes, Docker)
- Experience with data cataloguing tools
- Familiarity with unit testing in data pipelines
- Awareness of MLOps practices
To Apply for this Job Click Here
Sr. Generative AI Engineer
$85 - $115
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Sr. Generative AI Engineer
Harnham, the leading recruitment specialist in Data and AI is supporting a nationally recognized Databricks consulting partner delivering enterprise-grade GenAI and LLM solutions to their clients.
They are in need of a Sr Gen AI Engineer who has at least 5 years of experience with Databricks and who is comfortable communicating with both technical and non-technical stakeholders.
The ideal hire does not necessarily need to come form a specific company or industry, however, *hands-on GenAI production experience (RAG, LLMs, or agentic frameworks)* is a MUST.
- Role – Sr. Gen AI Engineer
- Location – Remote – OR – Hybrid (2-3 days on-site) in Dallas, Texas
- Pay – $85-$115 per hour, dependent on experience and certifications
- Length: Extendable, 12 months initial contract
- Utilization: 40 hr/week
- Benefits: W2 employees are eligible to health, dental, vision, 401k benefits.
As a Sr Gen AI engineer, you will be a key player in driving project completion and working extensively with both Databricks and the end-client on your projects.
Key Responsibilities:
- Deliver end-to-end GenAI projects on the Databricks platform, from scoping through build and deployment.
- Develop RAG (Retrieval-Augmented Generation) and LLM-based applications that utilize enterprise data and knowledge repositories.
- Implement vector database solutions, integrate LangChain / agentic frameworks, and optimize LLM workflows.
- Support clients in bringing GenAI systems into production with best practices for MLOps, CI/CD, and data pipeline automation.
- Collaborate with data teams to design scalable architectures and advise on tooling, deployment, and governance.
- Provide mentorship to broader ML teams and help clients adopt Databricks-native GenAI solutions effectively.
Requirements:
- 5+ years of overall experience in AI/ML engineering or data systems.
- 1-2 years of proven, hands-on GenAI production experience (RAG, LLMs, or agentic frameworks).
- Strong Databricks expertise – all delivery occurs within the Databricks ecosystem (Spark, MLflow, Unity Catalog, etc.).
- Proficiency in Python, LangChain, OpenAI API, Hugging Face, and vector DBs such as FAISS, Pinecone, Weaviate, or Chroma.
- Strong grasp of cloud deployment (AWS, Azure, GCP) and DevOps pipelines (Git, Azure Pipelines, CI/CD).
- Excellent communication skills for client-facing consulting and delivery engagements.
- Preferred certifications: Databricks Associate/Professional ML Engineer, Databricks GenAI Engineer, or Databricks Data Engineer.
This is an excellent opportunity for someone who has designed, developed, and deployed generative AI solutions and wants to leverage that expertise as a hands-on consultant.
**WE WILL NOT BE UTILIZING THIRD PARTY AGENCIES FOR THIS ROLE**
To Apply for this Job Click Here
Director of AI
$300000 - $350000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of AI
New York
up to £350,000 + Bonus + Carry
A leading private equity firm is seeking a hands-on Data & AI leader to drive value across its fintech portfolio. This is a high-impact role blending strategy, delivery, and innovation, working directly with deal teams, C-suites, and Boards.
THE ROLE
- Lead AI/data diligence for new investments
- Build and scale a Data & AI practice across portfolio companies
- Co-create AI-enabled value creation plans (VCPs)
- Drive internal AI transformation and platform development
- Represent the firm through thought leadership and industry engagement
REQUIREMENTS
- Proven track record delivering AI/data initiatives in fintech or regulated sectors
- Experience in PE/VC, consulting, or operator roles with value-creation focus
- Deep expertise in:
- LLMs and agent-based architectures
- End-to-end AI/ML development and deployment (MLOps)
- Data governance, privacy, and responsible AI
- Strong commercial acumen and stakeholder influence
- Ability to lead small, high-performing teams
THE BENEFITS
- Competitive base salary + bonus + carried interest
- High-impact, high-visibility role with direct access to investment teams and portfolio leadership
- Opportunity to shape the future of AI in private equity and fintech
- Hybrid working with offices in New York
If you’re interested in shaping the future of AI in private equity, apply now to explore this unique opportunity.
To Apply for this Job Click Here
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Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
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Frequently Asked Questions: Machine Learning Operations
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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
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
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.
