ML PLATFORMING
TALENT SOLUTIONS
Our expertise in data recruitment uniquely positions us to understand the complexities of Machine Learning Platforming jobs. We recognize the importance of these positions in developing, managing, and optimizing the platforms that underpin successful ML operations.
Our recruitment strategies are designed to identify professionals who are not only skilled in ML technologies but also proficient in creating and maintaining robust ML platforms.
Harnham's extensive global network enables us to tap into a rich talent pool, ensuring access to the best candidates in the ML Platform domain.
Our local market knowledge across the United States, Europe, and the United Kingdom allows us to match your organization with candidates who fit your technical requirements and company culture, ensuring a seamless integration into your team.
WHY
HARNHAM?
Our recruitment strategy is centred on understanding the unique needs and challenges of your organization. We provide a customized approach to ensure we deliver candidates that not only have the required technical expertise for Machine Learning Platforming jobs but also align with your strategic goals and values.
As a leading global authority in data recruitment, Harnham boasts a large team of dedicated specialists who understand the nuances of the ML Platform space.
This extensive network allows us to offer superior recruitment solutions, tailored to the specific needs of your organization, regardless of industry.
With over twenty years in the field, Harnham has a proven track record in data talent acquisition. This experience provides us with the insight to effectively navigate the ML Platform recruitment landscape, ensuring we deliver candidates who can drive your ML initiatives forward.
OUR
SERVICES
As a global leader in data recruitment, our expansive team of specialists offers unrivalled insights and solutions, ensuring we meet the specific needs of your organization, regardless of industry for Machine Learning Platforming jobs.
- Permanent Recruitment: We specialize in identifying long-term talent for your ML Platform team, focusing on candidates who can grow and evolve with your organization.
- Contract Recruitment: Our contract recruitment services offer flexibility, allowing you to adapt to project-specific or interim ML Platform needs with skilled professionals.
- Executive Search: We find industry-leading executives capable of steering your ML Platform strategies towards success and innovation.
Contact us today to explore how our bespoke talent solutions can elevate your organization's ML capabilities.
JOBS
LATEST ML PLATFORMING
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Principal Data Scientist
London
£85000 - £125000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead Data Scientist
London
85-120k
If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.
THE COMPANY
This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.
THE ROLE
As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.
- Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
- Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
- Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
- Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
- Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics
YOUR SKILLS & EXPERIENCE
- Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
- Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
- Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
- Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
- Hands-on experience building models and turning prototypes into robust, production-ready solutions
- Experience leading teams or technical workstreams in a project environment
- UK citizenship (for security clearance purposes) and willingness to travel across the UK 2-3 days per week, depending on client needs
Nice-to-have experience:
- Background in a consulting environment or a high-performing in-house DS/AI team
- Exposure to sectors such as defence, public sector and consumer/retail
- Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
- A mix of technical, product and operational experience – comfortable talking both code and business outcome
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco
$230000 - $280000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco, CA (Remote Eligible – US Only)
$230K-$280K base + equity
Are you ready to lead the design and build of a world-class data platform from the ground up?
A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.
As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.
Why this role?
- Join a growing Data Platform team
- Own the technical vision and architecture end-to-end
- Tackle petabyte-scale data challenges and real-time streaming use cases
- Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
- Drive platform evolution to support AI/ML and company-wide analytics
What You’ll Do
- Design and build a next-gen data platform to power product and internal use cases
- Architect for batch + streaming, scalability, fault tolerance, and low latency
- Lead data modeling, warehousing, governance, and ingestion best practices
- Champion engineering excellence and mentor senior engineers
- Align technical decisions with long-term business strategy
- Optimize for performance, cost, and resiliency in a modern cloud environment
What We’re Looking For
- 8+ years of experience in data engineering or platform architecture
- 5+ years at the Principal Engineer level or equivalent
- Deep expertise with Kafka (and its ecosystem), streaming data systems
- Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
- Cloud-native architecture expertise (AWS, GCP, or Azure)
- Track record of designing data systems for compliance and governance
- Experience scaling systems to support petabyte-level workloads
- Excellent communication, collaboration, and leadership skills
- Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth
To Apply for this Job Click Here
Senior Machine Learning Engineer
New York
$180000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Remote, HQ in New York, New York
$180,000-200,000 base salary + bonus + benefits
Harnham is partnered with a well-known financial services company that is disrupting a key area of financial services. They are building out a proprietary LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level ML Engineer in the business and lead all LLM projects from end-to-end.
THE ROLE
- You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
- 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 Machine Learning Engineer will likely have the following skills and experience:
- 3-5 years of commercial experience (depending on education level) preferred with a focus on building and deploying natural language and LLM models
- Experience working in a fast-moving organization is preferred
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel NLP and LLM AI platforms with large datasets
- Cloud experience in AWS, Azure or GCP preferred
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in financial services, investment or private equity a plus
- History of partnering with non-technical stakeholders required
- Experience as a player/coach or manager for AI teams preferred
- PhD or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $180,000-200,000 + 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 | Fintech | Financial Services | Fortune 500 | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture
To Apply for this Job Click Here
Lead Data Scientist
London
£85000 - £125000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead Data Scientist
London
85-120k
If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.
THE COMPANY
This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.
THE ROLE
As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.
- Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
- Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
- Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
- Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
- Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics
YOUR SKILLS & EXPERIENCE
- Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
- Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
- Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
- Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
- Hands-on experience building models and turning prototypes into robust, production-ready solutions
- Experience leading teams or technical workstreams in a project environment
- UK citizenship (for security clearance purposes) and willingness to travel across the UK 2-3 days per week, depending on client needs
Nice-to-have experience:
- Background in a consulting environment or a high-performing in-house DS/AI team
- Exposure to sectors such as defence, public sector and consumer/retail
- Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
- A mix of technical, product and operational experience – comfortable talking both code and business outcome
To Apply for this Job Click Here
Founding Machine Learning Engineer
New York
$180000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Founding Machine Learning Engineer
New York, New York
$180,000-200,000 base salary + equity + benefits
Harnham is partnered with a fintech startup that is disrupting a key area of credit risk in real estate. They are building out an AI platform that will revolutionize how certain credit risk tasks are carried out in the cloud. This will be a senior-level NLP Engineer in the business and lead all LLM projects from end-to-end.
THE ROLE
- You will be responsible for machine learning infrastructure and model deployment for the company’s AI platform
- You will report directly to the founding team and work closely on technical direction
- Own development of new PoCs and quickly build into production, particularly focusing on novel ML and AI applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
- 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 Founding Machine Learning Engineer will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on deploying ML models in credit risk
- 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 NLP and LLM AI platforms with large datasets
- Cloud experience in AWS, Azure or GCP preferred
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in real estate or financial services a plus
- History of partnering with non-technical stakeholders required
- Experience as a tech lead for ML teams preferred
- BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $180,000-200,000 + 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 | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture | Real Estate | Credit Risk | Founding Team
To Apply for this Job Click Here
Principal MLOps Engineer
New York
$250000 - $275000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Principal MLOps Engineer
New York, New York – 3 days/week hybrid
$250,000-275,000 base salary + bonus + equity
THE COMPANY
Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI and LLM applications to advance capabilities in medical claims in hospitals. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers 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 agentic AI product across HUNDREDS of hospitals
- You will report directly to the founding team 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, mentoring junior team members
YOUR SKILLS AND EXPERIENCE
The successful Principal MLOps Engineer will likely have the following skills and experience:
- 10+ years of commercial experience preferred with a focus on building and deploying machine learning and LLM models, ideally with voice, multi-modal or chatbot systems
- Experience working in a scaling startup is highly preferred
- 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
- 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
- Software engineering background preferred, MLOps experience with MLFlow, Kubeflow or similar
- Containerization experience with Docker or Kubernetes
- Experience in settings wearing multiple hats
- Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
- 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 $250,000-275,000 + 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 | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | MLFlow | PyTorch | TensorFlow | Publications | Patents
To Apply for this Job Click Here
Principal Machine Learning Engineer
New York
$250000 - $275000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Principal Machine Learning Engineer
New York, New York – 3 days/week hybrid
$250,000-275,000 base salary + bonus + equity
THE COMPANY
Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI and LLM applications to advance capabilities in medical claims in hospitals. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for machine learning model building, development, deployment and scalability for the company’s agentic AI product across HUNDREDS of hospitals
- You will report directly to the founding team 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, mentoring junior team members
YOUR SKILLS AND EXPERIENCE
The successful Principal Machine Learning Engineer will likely have the following skills and experience:
- 10+ years of commercial experience preferred with a focus on end-to-end building and deploying machine learning and LLM models, ideally with voice, multi-modal or chatbot systems
- Experience working in a scaling startup is highly preferred
- 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
- 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
- Software engineering background preferred, MLOps experience with MLFlow, Kubeflow or similar
- Containerization experience with Docker or Kubernetes
- Experience in settings wearing multiple hats
- Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
- 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 $250,000-275,000 + 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 | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | MLFlow | PyTorch | TensorFlow | Publications | Patents
To Apply for this Job Click Here
Principal AI Scientist – Healthcare
New York
$250000 - $275000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Principal AI Scientist
New York, New York – 3 days/week hybrid
$250,000-275,000 base salary + bonus + equity
THE COMPANY
Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI and LLM applications to advance capabilities in medical claims in hospitals. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for machine learning model research, building and development for the company’s agentic AI product across HUNDREDS of hospitals
- You will report directly to the founding team and work closely on technical direction
- Own applied AI research and quickly build into production, particularly focusing on novel AI and LLM applications
- You will directly work with production team on implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning modeling
- 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, mentoring junior team members
YOUR SKILLS AND EXPERIENCE
The successful Principal AI Scientist will likely have the following skills and experience:
- 10+ years of commercial experience preferred with a focus on applied machine learning research, building production-grade models with NLP and LLMs ideally with voice, multi-modal or chatbot systems
- Experience working in a scaling startup is highly preferred
- 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
- Cloud experience in AWS, Azure or GCP
- DevOps exposure with CI/CD pipelines preferred
- History of working on models from concept to production / end-to-end / 0-1
- Applied research background in a commercial setting required
- Publication and/or patent history highly preferred
- Experience in settings wearing multiple hats
- Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
- History of partnering with non-technical stakeholders required
- Experience owning projects
- PhD degree in Computer Science, Computational Linguistics, Linguistics, Statistics, Applied Mathematics, Physics or similar
THE BENEFITS
A competitive base salary of $250,000-275,000 + 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 | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents
To Apply for this Job Click Here
Senior Machine Learning Engineer – MLOps
New York
$190000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer – MLOps
Series A Adtech
REMOTE
$190,000-210,000 base salary + equity
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 Machine Learning Engineer – MLOps will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on deploying and scaling 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; Databricks and GitHub Actions preferred
- 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 $190,000-210,000 + 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 | Scale | Scalability | 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
Senior MLOps Engineer
Chicago
$160000 - $180000
+ Data Science & AI
PermanentChicago, Illinois
To Apply for this Job Click Here
Senior MLOps Engineer
Chicago, IL
$160,000-180,000 base salary + bonus
THE COMPANY
Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI applications. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers 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 agentic AI product
- 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, ideally with voice or chatbot systems
- Experience working in a scaling startup is highly preferred
- 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
- 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
- Software engineering background preferred
- Experience in settings wearing multiple hats
- Domain experience in heathcare, health-tech, med-tech 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 $160,000-180,000 + 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 | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient
To Apply for this Job Click Here
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With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
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AI.
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.
Candidate /
Digital Media and Analytics
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 – 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
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 – 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 – 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!
