MACHINE LEARNING OVERVIEW
We help the best talent in the Machine Learning, Deep Learning & AI market find rewarding careers.
Machine Learning jobs have seen a huge rise in demand and our dedicated team reflects this increased appetite. We dedicate significant resources into finding the best talent with this skillset and matching them with the opportunity that's right for them.
MARKETING & INSIGHT
OVERVIEW
We recruit the best data and analytics professionals into fulfilling Marketing and Insight positions.
We understand that marketing has shifted from a purely creative process, into a data-driven field that uses detailed analytics to determine the outcomes of campaigns, guide investment decisions and plan future customer targeting.
Whether you need to enter new markets or re-energise existing ones, develop new propositions or improve customer experience, our Marketing & Insight team understand the importance of knowing your target audience.
MARKETING & INSIGHT
OVERVIEW
We recruit the best data and analytics professionals into fulfilling Marketing and Insight positions.
We understand that marketing has shifted from a purely creative process, into a data-driven field that uses detailed analytics to determine the outcomes of campaigns, guide investment decisions and plan future customer targeting.
Whether you need to enter new markets or re-energise existing ones, develop new propositions or improve customer experience, our Marketing & Insight team understand the importance of knowing your target audience.



DATA
SCIENCE
"Data-driven” businesses have a huge advantage over their competition and are generating massive impact. As such, the ability to understand how to extract actionable insights from large volumes of structured or unstructured data through the application of Machine & Deep Learning models is one of the most sought-after skillsets for employers.
Data science requires those who work in the field to often write sophisticated algorithms that extract insights from large and complex data sources.
Those with a strong problem-solving ability and a team-orientated focus, combined with a desire to generate real business impact, along with proficiency across more than one data science discipline, such as machine learning, NLP, Deep-Learning and statistics will flourish within the right role. It is our job to find the right fit for you.
Machine Learning, Deep Learning & Machine Learning jobs have seen a huge rise in demand and our dedicated team reflects this increased appetite. We dedicate significant resources to finding the best talent with this skill set and matching them with the opportunity that's right for them.
NATURAL
LANGUAGE
PROCESSING
If you have ever asked Siri or Alexa a specific question or used ‘autocorrect’ when typing an email, then you can thank Natural Language Processing (NLP). Natural language processing is working with speech patterns and AI speech recognition assisting people with communicating with technology and devices.
Natural Language Processing / NLP jobs are a vital bridge between computer and human language, an important component of Artificial IntelligenceIt is now more important than ever to analyse the ways in which computers and humans interact.
There are many different applications of such techniques, ranging from the healthcare space to the consumer space, to the legal sector.
Looking to pursue a career in Natural Language processing or developing your career? There are numerous job opportunities in this sector, the most popular being NLP data scientist, NLP engineer, software engineer, machine learning engineer, artificial intelligence engineer and language engineer.
QUANTITATIVE
ANALYST
Quantitative Analyst jobs primarily focus on financial services, with an eye to financial market analysis, using complex modelling techniques.
Quantitative analysts use various forms of mathematical modelling, often searching through large amounts of databases to identify correlations in market patterns and applying new ways to view and analyse the data. The work quantitative analysts do helps financial firms and businesses managed risk, investments and pricing.
Quantitative Analysts often come from a mathematical or financial background. Many obtain a Master's or PhD in mathematics and physics. The skills required for quantitative analysts include computer programming, data science and machine learning.
JOBS
LATEST MACHINE
LEARNING OPPORTUNITIES
Harnham are a specialist Data & Analytics recruitment business with teams that only focus on niche areas.

AI Product Manager
London
£700 - £1200
+ Data Science
ContractLondon
AI Product Manager (Contract)
Tech Company
London – Hybrid
£700-£1200 per day (outside IR35)
A leading tech company that specialises in creating customer-centric products are looking for a Thought Leader within the AI space to help them develop and implement AI Strategies. Committed to enhancing the customer experience and delivering innovative solutions that exceed customer expectations, they are looking at AI to improve the customer experience and product strategy.
As an AI Product Manager, you will play a pivotal role in defining and executing their AI product strategy for the next 3-5 years. You will work closely with cross-functional teams to develop and launch AI-powered products that drive customer engagement, satisfaction, and business growth. This is a contract role that offers the opportunity to make a significant impact on the company’s future success.
Role & Responsibilities
- AI Strategy Development: Collaborate with CDO, CPO and CEO to define a comprehensive AI product strategy that aligns with the company’s overall vision and objectives.
- Market Analysis: Conduct in-depth market research and competitive analysis to identify emerging trends, customer needs, and potential opportunities in AI technology.
- Product Roadmap: Create and manage the AI product roadmap, outlining key milestones and deliverables over the next 3-5 years.
- Cross-Functional Collaboration: Work closely with engineering, data science, design, and marketing teams to execute the AI product strategy, ensuring seamless product development and delivery.
- User-Centric Approach: Advocate for a customer-focused approach in all product development efforts, ensuring that AI solutions enhance the user experience and solve real customer pain points.
- Data Governance: Develop and implement data governance and privacy policies to ensure ethical and compliant use of customer data in AI solutions.
- Performance Monitoring: Define KPIs and metrics to measure the success and impact of AI products, and continuously optimize based on data-driven insights.
- Stakeholder Communication: Effectively communicate AI product plans, progress, and outcomes to key stakeholders, both internally and externally.
Skills & Experiences
- Bachelor’s degree in a related field (Computer Science, Engineering, Business, etc.). A Master’s degree is a plus.
- Proven experience in AI or machine learning-focused roles in a customer centric environment
- Strong knowledge of AI technologies, including machine learning, natural language processing, computer vision, and data analytics.
- Ability to collaborate and lead cross-functional teams effectively.
- Strategic thinker with a customer-centric mindset.
- Strong analytical and problem-solving skills.
- Experience in the tech industry or related fields is highly desirable.
Benefits
£700-£1200 per day, outside IR35, hybrid working
How to Apply
Register your interest by sending your CV to Lloyd Dunstall via the Apply link on this page
Artificial Intelligence / AI / Data Science / Product / Strategy

VP of Engineering
San Francisco
$200000 - $220000
+ Data Science
PermanentSan Francisco, California
VP of Generative AI
Hybrid – San Francisco Bay Area (Must be SF Bay Area resident – No relocation assistance offered)
$200,000-220,000 base salary + bonus + equity
THE COMPANY
This fast-growing start-up is using data science and AI to reshape healthcare delivery and outcomes. They’re looking for a VP of Generative AI who will shape the strategy for integrating generative models into healthcare solutions. In this role, you will be expected to be the key player in growing the AI unit as well as communicate regularly with clients, partners, and other pivotal stakeholders.
REQUIREMENTS
- Advanced degree in Computer Science, AI, Machine Learning, or another related field
- 10+ years of full-time industry experience and 5+ years of experience in a leadership position
- Expertise in AI/ML
- Extensive experience designing and deploying generative models
- Specialization in working with EHR workflows
- Experience developing products for health systems/integrated delivery networks
- Developed products made for physicians and patients
- Previous start-up experience
BENEFITS
As a VP of Generative AI, you can expect a base pay of $200,000-$220,000 + a bonus + equity.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.

Compiler Engineer
San Francisco
$140000 - $180000
+ Data Science
PermanentSan Francisco, California
Compiler Engineer (NPU) – Onsite, San Francisco Bay Area
The Company:
This start-up company is leading the charge in the exciting field of artificial intelligence. With a team of experts in computer science, electrical engineering, and AI research, they’re dedicated to developing innovative solutions to real-world problems.
Their most prominent and innovative product is a series of cutting-edge semiconductor chips that are specifically designed for machine learning and deep learning applications. These chips provide exceptional performance and efficiency and are used across multiple industries.
This company also prides itself in its mission to create a better future by applying AI and other tech to support humanity, with the goal of making it more sustainable and capable.
Responsibilities:
- Design/implement new compiler features for AI and ML applications
- NPU compiling (backend optimization)
- Optimize computation graphs
- DRAM, scratch pad memory management
- Support deep learning training and inference
- Optimize/improve existing compilers for use on AI-specific hardware
- Collaborate with chip designers and software engineers
To apply, you must have experience in the following:
- 10+ years of full-time compiler development experience
- 4+ years of experience with neural networks and NPU development
- Neural network training, inference, strong understanding utilization
- Understanding of computer architecture and optimization
- Understanding of AI-specific hardware, ex: semiconductor chips
- M.A. or Ph.D. in Computer Science or Computer Engineering
The Benefits:
As an NPU Compiler Engineer, you can expect a salary of $150,000-200,000 (based on experience) plus other competitive benefits
HOW TO APPLY:
Please register your interest by sending your CV to Mikayla Memoracion via the Apply link on this page.
The Company:
This start-up company is leading the charge in the exciting field of artificial intelligence. With a team of experts in computer science, electrical engineering, and AI research, they’re dedicated to developing innovative solutions to real-world problems.
Their most prominent and innovative product is a series of cutting-edge semiconductor chips that are specifically designed for machine learning and deep learning applications. These chips provide exceptional performance and efficiency and are used across multiple industries.
This company also prides itself in its mission to create a better future by applying AI and other tech to support humanity, with the goal of making it more sustainable and capable.
Responsibilities:
- Design/implement new compiler features for AI and ML applications
- NPU compiling (backend optimization)
- Optimize computation graphs
- DRAM, scratch pad memory management
- Support deep learning training and inference
- Optimize/improve existing compilers for use on AI-specific hardware
- Collaborate with chip designers and software engineers
To apply, you must have experience in the following:
- 10+ years of full-time compiler development experience
- 4+ years of experience with neural networks and NPU development
- Neural network training, inference, strong understanding utilization
- Understanding of computer architecture and optimization
- Understanding of AI-specific hardware, ex: semiconductor chips
- M.A. or Ph.D. in Computer Science or Computer Engineering
The Benefits:
As an NPU Compiler Engineer, you can expect a salary of $150,000-200,000 (based on experience) plus other competitive benefits
HOW TO APPLY:
Please register your interest by sending your CV to Mikayla Memoracion via the Apply link on this page.

VP of ML Engineering (Healthcare)
Boston
$220000 - $240000
+ Data Science
PermanentBoston, Massachusetts
Job Posting: VP of ML Engineering – Healthcare Startup
Location: Boston, Massachusetts (Hybrid ONLY, No sponsorship, No relocation)
Compensation: 220,000 – 240,000 Base + Bonus + Equity + Benefits
About Them:
The company is at the forefront of transforming healthcare through cutting-edge AI technologies. We’re dedicated to harnessing the power of AI to address critical healthcare challenges and enhance patient care.
Position Overview:
We’re scouting for a VP of Generative AI with a blend of profound AI/ML expertise, startup experience, and an ardent desire to reinvent healthcare. This role demands hands-on experience in product development focused on physicians and patients and a deep understanding of integrated delivery networks.
Key Responsibilities:
- Leadership & Strategy: Champion the AI division, shaping an innovative strategy for integrating generative models into healthcare solutions.
- Research & Development: Advocate for state-of-the-art AI research and assess its adaptability into our product suite.
- Collaboration: Forge alliances with multidisciplinary teams, from data scientists to healthcare practitioners, to conceptualize and launch AI-centered solutions.
- Ethics & Compliance: Guarantee the ethical foundation and regulatory compliance of all AI endeavors.
- Stakeholder Engagement: Cultivate relationships with clients, partners, and other pivotal stakeholders to collate essential feedback and criteria.
- Talent Development: Mentor and grow the AI unit, emphasizing both technical prowess and ethical principles.
Basic Qualifications:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a relevant field.
- Over 10 years of immersion in AI/ML, with a minimum of 5 years in a leadership orbit.
- Proven expertise in designing and deploying generative models (MUST HAVE)
- Mastery over EHR workflows and a keen grasp of healthcare data intricacies (MUST HAVE)
- Indisputable experience within a startup ecosystem (HIGHLY DESIRED)
- Hands-on experience with integrated delivery networks (MUST HAVE)
- A track record of developing products tailor-made for physicians and patients (MUST HAVE)
Preferred Qualifications:
- Aptitude to articulate complex AI narratives to varied audiences.
- Proficiency across diverse AI platforms and methodologies.
- Recognized contributions or research publications in pertinent AI fields.
Important Note: We respect the vast reservoir of knowledge that pharma-background professionals offer; however, for this particular role, we will not be considering candidates chiefly rooted in pharmaceuticals.
What We Offer:
- A lucrative compensation structure, complemented by stock options.
- Comprehensive health coverage.
- A platform to pilot AI-centric revolutions in healthcare.
- A work culture defined by inclusiveness, collaboration, and lifelong learning.
- Opportunities for professional ascent and skill enhancement.
220,000 – 240,000 Base + Bonus + Equity + Benefits

VP of ML Engineering (Healthcare)
Palo Alto
$220000 - $240000
+ Data Science
PermanentPalo Alto, California
Job Posting: VP of ML Engineering – Healthcare Startup
Location: Palo Alto, CA (Hybrid ONLY, No sponsorship, No relocation)
Compensation: 220,000 – 240,000 Base + Bonus + Equity + Benefits
About Them:
The company is at the forefront of transforming healthcare through cutting-edge AI technologies. We’re dedicated to harnessing the power of AI to address critical healthcare challenges and enhance patient care.
Position Overview:
We’re scouting for a VP of Generative AI with a blend of profound AI/ML expertise, startup experience, and an ardent desire to reinvent healthcare. This role demands hands-on experience in product development focused on physicians and patients and a deep understanding of integrated delivery networks.
Key Responsibilities:
- Leadership & Strategy: Champion the AI division, shaping an innovative strategy for integrating generative models into healthcare solutions.
- Research & Development: Advocate for state-of-the-art AI research and assess its adaptability into our product suite.
- Collaboration: Forge alliances with multidisciplinary teams, from data scientists to healthcare practitioners, to conceptualize and launch AI-centered solutions.
- Ethics & Compliance: Guarantee the ethical foundation and regulatory compliance of all AI endeavors.
- Stakeholder Engagement: Cultivate relationships with clients, partners, and other pivotal stakeholders to collate essential feedback and criteria.
- Talent Development: Mentor and grow the AI unit, emphasizing both technical prowess and ethical principles.
Basic Qualifications:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a relevant field.
- Over 10 years of immersion in AI/ML, with a minimum of 5 years in a leadership orbit.
- Proven expertise in designing and deploying generative models (MUST HAVE)
- Mastery over EHR workflows and a keen grasp of healthcare data intricacies (MUST HAVE)
- Indisputable experience within a startup ecosystem (HIGHLY DESIRED)
- Hands-on experience with integrated delivery networks (MUST HAVE)
- A track record of developing products tailor-made for physicians and patients (MUST HAVE)
Preferred Qualifications:
- Aptitude to articulate complex AI narratives to varied audiences.
- Proficiency across diverse AI platforms and methodologies.
- Recognized contributions or research publications in pertinent AI fields.
Important Note: We respect the vast reservoir of knowledge that pharma-background professionals offer; however, for this particular role, we will not be considering candidates chiefly rooted in pharmaceuticals.
What We Offer:
- A lucrative compensation structure, complemented by stock options.
- Comprehensive health coverage.
- A platform to pilot AI-centric revolutions in healthcare.
- A work culture defined by inclusiveness, collaboration, and lifelong learning.
- Opportunities for professional ascent and skill enhancement.
220,000 – 240,000 Base + Bonus + Equity + Benefits

VP of Generative Artificial Intelligence (Healthcare)
Palo Alto
$210000 - $300000
+ Data Science
PermanentPalo Alto, California
Job Posting: VP of Generative AI – Healthcare Startup
Location: Palo Alto, CA (Hybrid ONLY, No sponsorship, No relocation)
Compensation: 210,000 Base (minimum) + Bonus + Equity + Benefits
About Them:
The company is at the forefront of transforming healthcare through cutting-edge AI technologies. We’re dedicated to harnessing the power of AI to address critical healthcare challenges and enhance patient care.
Position Overview:
We’re scouting for a VP of Generative AI with a blend of profound AI/ML expertise, startup experience, and an ardent desire to reinvent healthcare. This role demands hands-on experience in product development focused on physicians and patients and a deep understanding of integrated delivery networks.
Key Responsibilities:
- Leadership & Strategy: Champion the AI division, shaping an innovative strategy for integrating generative models into healthcare solutions.
- Research & Development: Advocate for state-of-the-art AI research and assess its adaptability into our product suite.
- Collaboration: Forge alliances with multidisciplinary teams, from data scientists to healthcare practitioners, to conceptualize and launch AI-centered solutions.
- Ethics & Compliance: Guarantee the ethical foundation and regulatory compliance of all AI endeavors.
- Stakeholder Engagement: Cultivate relationships with clients, partners, and other pivotal stakeholders to collate essential feedback and criteria.
- Talent Development: Mentor and grow the AI unit, emphasizing both technical prowess and ethical principles.
Basic Qualifications:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a relevant field.
- Over 10 years of immersion in AI/ML, with a minimum of 5 years in a leadership orbit.
- Proven expertise in designing and deploying generative models (MUST HAVE)
- Mastery over EHR workflows and a keen grasp of healthcare data intricacies (MUST HAVE)
- Indisputable experience within a startup ecosystem (HIGHLY DESIRED)
- Hands-on experience with integrated delivery networks (MUST HAVE)
- A track record of developing products tailor-made for physicians and patients (MUST HAVE)
Preferred Qualifications:
- Aptitude to articulate complex AI narratives to varied audiences.
- Proficiency across diverse AI platforms and methodologies.
- Recognized contributions or research publications in pertinent AI fields.
Important Note: We respect the vast reservoir of knowledge that pharma-background professionals offer; however, for this particular role, we will not be considering candidates chiefly rooted in pharmaceuticals.
What We Offer:
- A lucrative compensation structure, complemented by stock options.
- Comprehensive health coverage.
- A platform to pilot AI-centric revolutions in healthcare.
- A work culture defined by inclusiveness, collaboration, and lifelong learning.
- Opportunities for professional ascent and skill enhancement.
210,000 base (minimum) + bonus + equity + benefits

AI Product Manager
London
£650 - £1200
+ Data Science
ContractLondon
AI PRODUCT MANAGER
£650 – £1200 PER DAY (OUTSIDE IR35)
12 MONTH CONTRACT
ECOMMERCE
FLEXI-HYBRID
Harnham is excited to bring you a role that will shape the future of eCommerce. We are partnering with a leading UK brand that is looking to bring in an AI Product Owner to help shape their strategy around the AI offering on both their app and website!
THE COMPANY
This company is a leading eCommerce brand that has dozens of millions of users across a number of key markets! They operate out of a fantastic central London office and generates millions in revenue each year.
The company is product-first, offering their services from an app and a website and has announced a hugely successful 2023!
As this company continues to innovate, they’re now turning their attention to artificial intelligence and want support in shaping their strategy and AI offering!
THE ROLE AND RESPONSIBILITIES
As an AI Product Manager, you will be:
- Working with the CEO, CDO & CPO on shaping the brand’s artificial intelligence offering, guiding future product features and the future of the app & website.
- Supporting the business’s technical teams with guidance around what is needed from an AI perspective.
- Pushing the commercial value of AI across all levels and creating buy-in across the business
- Understanding the wants and needs of their customers & how AI can provide these solutions.
YOUR SKILLS AND EXPERIENCE
For this role, the business expects to receive a broad range of skills & experiences as the remit is broad. Some of the skills & experience you may have are:
- A background in supporting businesses with AWS and Python tooling.
- Experience as a Product Manager, Product Owner, Strategist, Head of, Director or similar
- Exposure to adding AI to new products, as well as existing ones.
- Technical skills or experience supporting technical teams
Some of the essentials are:
- Excellent knowledge of AI and how it can be used in a commercial setting
- Experience working with consumer technology businesses
- Strong exposure to eCommerce with App-based businesses
- A background influencing key decision-makers within the C-suite
- Successful track record of implementing AI into products.
N.B During the interview process you will be asked to demonstrate your AI knowledge & when you’ve used AI within consumer products (apps &/or websites).
THE BENEFITS
Once placed an AI Product Manager can expect to receive the following:
- Between £650 & £1200 per day – depending on experience.
- Outside IR35
- 12-month contract
- Flexible-first hybrid policy (as few or as many days in the office as you’d like, however, for important meetings you may be asked to attend)
In this role, you will also be given the opportunity to shape the future of AI within British eCommerce with one of the UK’s most successful and recognisable brands.
HOW TO APPLY
To apply for this opportunity please send your CV to Luke via the apply link on this page

Senior Computer Vision Data Engineer
Los Angeles Metro Area
$200000 - $225000
+ Data Science
PermanentLos Angeles Metro Area, California
Senior Computer Vision Data Engineer
200,000 – 225,000 base + equity + benefits
5 days a week IN OFFICE – Santa Monica, CA (can offer relocation)
The company:
An energetic, growing startup operating at the intersection of AI and filmmaking.
The work in automated visual translation is just the beginning, we’re developing countless exciting products based on the application of our proprietary, cornerstone research.
Minimum Requirements:
- Bachelor’s degree in computer science, machine learning, computer vision, or a related field
- 4+ years of experience preparing large datasets for deep learning and neural network models
- 4+ years of experience writing and testing modularized, production-level Python code
- Experience with deep learning frameworks such as PyTorch, Tensorflow, Keras, or MXNET
- Experience building scalable ML pipelines for image and video modalities with tools such as Flyte, Prefect, AirFlow, or Kubeflow
- MS or PhD in computer science, machine learning, computer vision, or a related field
- Experience with CI / CD automation using tools such as GitHub Actions or GitLab
- Experience with various cloud data storage technologies on AWS, GCP, or Azure
- Experience writing production-grade C++
- Experience with audio, text, or 3D data modalities
200,000 – 225,000 base + RSUs + Benefits + Relocation Assistance

Staff AI Platform Engineer – 9+ years REQUIRED
Palo Alto
$210000 - $245000
+ Data Science
PermanentPalo Alto, California
Staff AI Platform Engineer – 9+ years required
210,000 – 245,000 base + bonus + equity + benefits
Remote – West Coast Candidates Only
The Company:
An Industrial AI company that is innovating in the semiconductor manufacturing space! Their problems are very technically challenging problems; it’s not a simple case of downloading some ML package and applying it, but they need novel solutions are needed, and patents are being applied for. Their models will not be deployed in isolation. We’re talking about AI systems here, with 1000’s of models deployed interacting with each other (potentially in each FAB). They have a very highly talented and accomplished team. ~70% of the team has PhD’s. Very deep experience and expertise in AI and ML with internationally recognized experts both in academia and industry. They solve meaningful AI/ML problems that really moves the needle.
The Role & Responsibilites:
- Architect a full ML Platform and build out the infrastructure to support scalability
- Experience with the full end to end AI lifecycle
- Build capabilities and tools for distributed optimization
- Enable all the right ML paradigms for the deep learning frameworks such as Tensorflow and PyTorch
- Model training and tuning and optimization
- Standardized model deployment and mechanics
- CI/CD pipelines for model performance
- 80% hands on work to start and will dial back as more people are hired
- Interaction with stakeholders, and product managers – must need great communication skills
- Targeting 9+ years as an architect
- Experience with Airflow, MLFlow, or KubeFlow
The Benefits:
210,000 – 245,000 base + bonus + equity + benefits

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