ML APPLIED
SCIENCE TALENT SOLUTIONS
Our deep-rooted expertise in data talent solutions positions us as your ideal partner for recruiting in the ML Applied Science domain. We understand the critical role that ML Applied Scientists play in harnessing data to drive innovation and create business value, and we are adept at identifying and attracting professionals who excel in these areas.
We provide talent solutions across all levels of seniority, from budding specialists to seasoned experts and strategic leaders in Applied Data Science Machine Learning. This breadth of coverage ensures that we can support your organization at every stage of its growth and development in the data science field.
WHY
HARNHAM?
With two decades of experience in talent acquisition for the data sector, Harnham has developed an unparalleled understanding of the market dynamics, skill requirements, and innovation trends in Applied Data Science Machine Learning. Our history speaks to our ability to adapt and thrive in the ever-evolving data landscape, offering our clients a seasoned perspective on talent solutions.
We provide tailored recruitment and talent solutions designed to align with your organization's specific goals and challenges in Applied Data Science Machine Learning. Our approach is not just about filling positions but establishing a robust, innovative, and cohesive data team that can drive your business forward.
OUR SERVICES
Our deep-rooted expertise in data talent solutions positions us as your ideal partner for recruiting in the ML Applied Science domain. We understand the critical role that ML Applied Scientists play in harnessing data to drive innovation and create business value, and we are adept at identifying and attracting professionals who excel in these areas.
We provide talent solutions across all levels of seniority, from budding specialists to seasoned experts and strategic leaders in Machine Learning Applied Science. This breadth of coverage ensures that we can support your organization at every stage of its growth and development in the data science field.
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- Permanent and Contract Recruitment: Whether you need permanent team members or contract professionals for specific projects, we offer recruitment solutions that align with your strategic needs.
- Executive Search: We identify and attract top-tier executives capable of leading your ML and data science initiatives, ensuring leadership that fosters innovation and growth.
- Customized Talent Consulting: From talent mapping and market analysis to strategic workforce planning, our consulting services are designed to optimize your talent acquisition strategy in the ML Applied Science field.
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Contact us today to partner with a global leader in data recruitment and discover how we can enhance your Machine Learning team with the right talent, fostering innovation and driving business value.
JOBS
LATEST ML APPLIED SCIENCE
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
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
Manager of MLOps
Toronto
$190000 - $220000
+ Data Science & AI
PermanentToronto, Ontario
To Apply for this Job Click Here
Manager, MLOps 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 ML systems (Python)
- Experience with ModelOps / MLOps 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 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 | 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
Principal Data Engineer
Leeds
£70000 - £80000
+ Data Engineering
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
PRINCIPAL DATA ENGINEER
£80,000 + BENEFITS
LEEDS (Hybrid)
Looking for a role where you can truly influence how data engineering is done-while still getting stuck into the tech yourself?
THE COMPANY:
I’m working with a central data function in the financial services industry that’s undergoing a full modernisation of their data platform. They’ve got technically advanced teams across the wider business and are now building out a core engineering team to unify, elevate and support that community.
THE ROLE:
It’s a strategic, hands-on role where you’ll work closely with DevOps, Product, and business partners to unlock the value of data through modern, secure and governed pipelines.
- Lead hands-on development work using Azure, Databricks, and Terraform (IaC)
- Support the migration from legacy platforms to a more modern cloud stack
- Act as a mentor and technical guide to the wider engineering team
- Implement data governance requirements
- Collaborate with non-technical stakeholders to ensure delivery aligns to business needs
- Stay close to the ML lifecycle
YOUR SKILLS AND EXPERIENCE:
A successful Principal Data Engineer will have the following skills and experience:
- Strong hands-on experience with Azure
- Proficient in Databricks
- Skilled in Terraform and Infrastructure as Code practices
- Exposure to containers/Kubernetes
- Awareness of ML Ops concepts
THE BENEFITS:
You will receive a salary, dependent on experience. Salary is up to £80,000 On top of the salary there are some fantastic extra benefits.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
To Apply for this Job Click Here
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If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.
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.
From Start-Up to Scale-Up: Hire Exceptional Data Talent in Two Weeks
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A global investment advisor managing over $268 billion across real estate, equity, and credit needed to build…
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 By David Farmer, CEO, Harnham Global We haven’t just hit 15,000 placements, we’ve launched 15,000 careers,…
Frequently Asked Questions: Machine Learning Applied Science
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 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 – 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
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 – 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
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
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 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.
