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.
Machine Learning Data Scientist
€80000 - €90000
+ Data Science
PermanentLeiden, South Holland
Machine Learning Data Scientist
Up to €90,000
Leiden
The Company
This company is transforming the pharmaceutical industry by using AI solutions to support the healthcare ecosystem. They are the leaders in AI analytics for life sciences and pride themselves in giving their employees creative freedom in order to do their work and take pride in what they are doing. This company uses a suite of products that have been built in partnership with top life science companies- all with a focus on empowering the people to take action.
The Role
The company is seeking a Data Scientist with a strong background in Machine Learning to develop solutions based on the companies ground-breaking technologies. You will play a crucial role in designing and building solutions using the leading AI engine for healthcare. You will be part of a close team who have extensive experience in implementing machine learning for real-world applications. This company prides itself on its ability for its employees to influence the design, architecture, and refinement of the data processing applications in healthcare.
Day to Day
- Define and build systems to model unstructured data sets to generate insights for clinical and medical problems that Machine Learning can solve
- Setting up and maintaining Data Science pipelines
- Contribute to defining and testing our products in the broadest sense possible, including testing for AI bias, transparency, and reliability
- Work closely with both our engineering and data science teams to drive product releases
Your Skills and Experience
The ideal fit for this role is someone who:
- Strong problem-solving skills with an emphasis on product development
- Strong proven experience – at least a few years – with Machine Learning algorithms
- Knowledge of a variety of machine learning techniques (such as supervised/unsupervised machine learning, time series, reinforcement learning, and adversarial learning) and their real-world applications
- Master’s or Ph.D. in Data Science, Statistics, Mathematics, Computer Science
- Proficiency with modern Python programming
- Familiarity with solving problems using Artificial Intelligence
- Proficiency in English
Benefits
- Hybrid
- Monthly WFH budget and one of set-up budget
- 25 days holiday
- Frequent informal team socials
- Excellent pension scheme
- Private healthcare
- Fully covered public transport (NL)
How to Apply
Please register your interest by sending your CV to Ally Cunningham via the Apply link on this page.
Senior ML/AI Engineer
£70000 - £95000
+ Data Science
PermanentCity of London, London
SENIOR ML/AI ENGINEER
£65,000-£95,000 + BENEFITS
REMOTE
We have seen how important the healthcare industry has been to society over the past two years.
If you’re a data scientist looking to make a difference, then consider applying to this position and join this global healthcare company in its journey to improve healthcare and provide groundbreaking treatment.
THE COMPANY
This is a unique opportunity to join a healthcare giant that specialises in bringing cutting-edge healthcare and medical products to the consumer market.
With over 100k employees globally, you can be sure that you will be surrounded by the best of the best.
THE ROLE
Part of a fast-growing applied AI team, the senior AI/ML Engineer can expect to be involved in the following:
- Design, develop and implement AI/ML models in the field of drug discovery and development
- Work closely with cross-functional teams to identify and implement AI/ML solutions
- Develop and maintain efficient and scalable machine learning pipelines
- Stay up-to-date with the latest research and technologies in the AI/ML field
- Provide technical mentorship and guidance to other team members
YOUR SKILLS AND EXPERIENCE
The successful Senior AI/ML Engineer will have the following skills and experience:
- Minimum of 5 years’ experience in AI/ML engineering
- Expertise in deep learning and machine learning frameworks such as TensorFlow, PyTorch, or Keras
- Strong programming skills in Python or other relevant programming languages
- Experience working with large data sets and data pipelines
- Excellent communication and collaboration skills
- PhD or Masters degree in computer science, engineering or a related field
SALARY AND BENEFITS
The salary for this position is up to £95,000 and comes with a range of benefits. If you are a Senior AI/ML Engineer with a passion for the pharmaceutical industry and a drive to make a real difference in the world, we would love to hear from you!
If you are interested; please apply to this job ad. Or forward your CV directly
Machine Learning Data Scientist
€80000 - €90000
+ Data Science
PermanentLeiden, Zuid-Holland
Machine Learning Data Scientist
Up to €90,000
Leiden
The Company
This company is transforming the pharmaceutical industry by using AI solutions to support the healthcare ecosystem. They are the leaders in AI analytics for life sciences and pride themselves in giving their employees creative freedom in order to do their work and take pride in what they are doing. This company uses a suite of products that have been built in partnership with top life science companies- all with a focus on empowering the people to take action.
The Role
The company is seeking a Data Scientist with a strong background in Machine Learning to develop solutions based on the companies ground-breaking technologies. You will play a crucial role in designing and building solutions using the leading AI engine for healthcare. You will be part of a close team who have extensive experience in implementing machine learning for real-world applications. This company prides itself on its ability for its employees to influence the design, architecture, and refinement of the data processing applications in healthcare.
Day to Day
- Define and build systems to model unstructured data sets to generate insights for clinical and medical problems that Machine Learning can solve
- Setting up and maintaining Data Science pipelines
- Contribute to defining and testing our products in the broadest sense possible, including testing for AI bias, transparency, and reliability
- Work closely with both our engineering and data science teams to drive product releases
Your Skills and Experience
The ideal fit for this role is someone who:
- Strong problem-solving skills with an emphasis on product development
- Strong proven experience – at least a few years – with Machine Learning algorithms
- Knowledge of a variety of machine learning techniques (such as supervised/unsupervised machine learning, time series, reinforcement learning, and adversarial learning) and their real-world applications
- Master’s or Ph.D. in Data Science, Statistics, Mathematics, Computer Science
- Proficiency with modern Python programming
- Familiarity with solving problems using Artificial Intelligence
- Proficiency in English
Benefits
- Hybrid
- Monthly WFH budget and one of set-up budget
- 25 days holiday
- Frequent informal team socials
- Excellent pension scheme
- Private healthcare
- Fully covered public transport (NL)
How to Apply
Please register your interest by sending your CV to Ally Cunningham via the Apply link on this page.
Senior Machine Learning Engineer
$0 - $1
+ Data Science
PermanentVancouver, British Columbia
Machine Learning Engineer
$ CAD + Bonus + Benefits
Remote – Canada
This is an opportunity for a Senior Machine Learning Engineer to join a gamification start-up to continue to build out and expand its machine learning capabilities. They are looking for a talented Machine Learning Engineer with strong experience with deployment and postproduction environments.
THE COMPANY:
This start-up is one that has been trailblazing the Gaming industry within the AdTech and mobile space with very interesting products. They are seeking a Staff Machine Learning Engineer to join a collaborative team to take their ideas and drive its default platform for product development.
THE ROLE:
As a Senior Machine Learning Engineer, you will be required to be:
- A strong IC who is responsible for building the continuous and deployment structure for all ML models.
- Work on the automated retaining of ML models.
- Built and maintain the infrastructure for data and model management.
- Define and lead the development of the company’s platform capabilities.
- Deploying learning algorithms into a production system.
YOUR SKILLS AND EXPERIENCE:
A successful Machine Learning engineer will have the following skills and experience:
- 5+ years of relevant industry experience within the machine learning space.
- Strong MLOps, deployment and Infrastructure experience is required.
- Python, Javascript and a strong engineering background is a must.
- ML flow and similar machine learning tools are desired.
THE BENEFITS:
A competitive base salary + Bonus + Benefits
HOW TO APPLY:
Please register your interest by sending your CV to Mark Doyle via the Apply link on this page.
Machine Learning Infra Engineer
$200000 - $210000
+ Data Science
PermanentNew York
Machine Learning Infra Engineer
$200,000-210,000 + Equity
Remote
I am working with an ethical data tech start-up leveraging machine learning and AI for best practices. This revolutionary company, who received 12 million in funding (cool part – they didn’t have to give up any equity in their company), is looking for an extremely talented Machine Learning Infra Engineer who enjoys working on infrastructure and platform-related problems.
THE COMPANY:
This industry-disrupting start-up enables businesses to build privacy preserving recommendations and behavioral technologies competitive to big tech without the use of interpretable raw customer data. They have made its presence known and is predicted to be one of the top 3 companies in the coming years!
THE ROLE:
- You will be the main contributor on the machine learning infrastructure using petabytes of data.
- Feature engineering for machine learning and making the Machine Learning Platform.
- Creating, implementing, and maintaining the machine learning infrastructure.
- Utilizing and maximizing identity graphs.
- Building and deploying Machine Learning models and setting up post-production automatic retraining.
- Iterating on and experimenting with machine learning models.
- Building and maintaining reliable predictive services.
- Implementing analytics pipelines to assess model results.
- Setting up data and cloud environments to make data science more efficient.
- Engineer scalable data and machine learning pipelines.
YOUR SKILLS AND EXPERIENCE:
A successful candidate will have the following skills and experience:
- Experience in software development and be well versed in machine learning best practices.
- Experience building and deploying various deep learning models.
- Have worked on many aspects of machine learning and be an expert in one of – recommendation systems, pattern recognition, NLP, or AI.
- Have worked on Machine Learning infrastructure for larger platforms with lots of data.
- Previous experience working with security in the public cloud (aws, gcp, azure).
THE BENEFITS:
A competitive base salary of $200,000 – $210,000 + Equity
HOW TO APPLY:
Please register your interest by sending your CV to Mark Doyle via the Apply link on this page.
Director of Machine Learning
$220000 - $230000
+ Data Science
PermanentNewark, New Jersey
Director of Machine Learning
$220,000-$230,000 base + Bonus + Benefits
New Jersey – Remote
Are you looking to join and make a difference in one of the worlds leading financial services companies? My client is looking for a Director of Machine Learning to join and become an influential member of their ML team. You will act as both a technical leader and a project leader to help the company solve difficult problems and to come up with groundbreaking solutions.
The Company
This company is a leader in the world for offering clients large and small, a variety of financial services and products, and continue to remain at the forefront of the machine learning and data science industry.
The Role
As Director of Machine Learning, you will be required to:
- Act as a technical lead and project lead. (This is a very hands-on role)
- Be an expert coding in Python
- Know how programming and the API building should be done
- You will be working on the creation, deployment and monitoring of AI/ML pipelines.
- You will be assisting with the migration of on-prem models to the cloud, specifically AWS.
- You will be responsible for defining engineering standards, creating a framework for the future of ML at the company, and identifying areas where ML/DS can be leveraged to produce value.
- You will help scale up the existing ML and DS infrastructure at the company.
Your Skills and Experience
The successful Machine Learning Engineer will have the following skills and experience:
- Vast experience putting models into production
- Experience working in financial services
- Five to Seven years of computer programming work experience with proven, high-value results.
- Five to Seven years of data science, machine learning, or data engineering work experience.
- Master of Computer Science is desired, PhD is a plus.
The Benefits
A competitive base salary of $220,000-$230,000 + Bonus + Benefits
To Apply:
Please register your interests by sending your CV to Mark Doyle via the Apply link on this page.
Lead ML Scientist
$190000 - $210000
+ Data Science
PermanentPalo Alto, California
Lead ML Scientist
190,000 – 210,000 + Equity
Novato, Ca (hybrid)
The Company:
Founded in 2005, The Client is a global video game company, publishing titles developed by some of the most influential game development studios in the world
The Role:
- Work with different leads on different projects for the client
- Work on projects – own the end to end process from inception to deployment
- Example projects:
- Predict when certain components in the game of when they are going to fail so we can prepare for it
- Use machine learning for recommendation
Your Skills:
Essential Requirements:
- 4+ years of industry data science experience (5+ for senior staff leveling)
- Python, SQL and the rest of the python data science stack (e.g. pandas, numpy, sklearn, etc)
- Understanding of Git
- Experience with the full ML lifecycle – from inception to deployment. Candidate does not have to deploy the models into production themselves, as long as they have experience developing models that go into production
- Experience working with time series or temporal data
- Detail-oriented
Desirable Requirements:
- Looking for more of a generalist. Only open to a specialist if they are open to working on a wide range of problems
- Experience with predictions, forecasting, time series, anomaly detection, segmentation, NLP, predictive maintenance
- Ideally no bootcamps or anyone that is currently in school
The Benefits:
190,000 – 210,000 + Equity
Senior Manager of Machine Learning (IC)
$190000 - $210000
+ Data Science
PermanentPalo Alto, California
Senior Machine Learning Scientist
190,000 – 210,000 + Equity
Novato, CA (2-3 days a week Hybrid)
The Company:
Founded in 2005, The Client is a global video game company, publishing titles developed by some of the most influential game development studios in the world
The Role:
- Work with different leads on different projects for the client
- Work on projects – own the end to end process from inception to deployment
- Example projects:
- Predict when certain components in the game of when they are going to fail so we can prepare for it
- Use machine learning for recommendation / matchmaking
- Fraud anomaly detection
Your Skills:
Essential Requirements:
- 4+ years of industry data science experience (5+ for senior staff leveling)
- Python, SQL and the rest of the python data science stack (e.g. pandas, numpy, sklearn, etc)
- Understanding of Git
- Experience with the full ML lifecycle – from inception to deployment. Candidate does not have to deploy the models into production themselves, as long as they have experience developing models that go into production
- Experience working with time series or temporal data
- Detail-oriented
Desirable Requirements:
- Looking for more of a generalist. Only open to a specialist if they are open to working on a wide range of problems
- Experience with predictions, forecasting, time series, anomaly detection, segmentation, NLP, predictive maintenance
- Ideally no bootcamps or anyone that is currently in school
The Benefits:
190,000 – 210,000 + Equity
Head of Machine Learning
$200 - $250
+ Data Science
PermanentSan Francisco, California
TITLE: Head of Machine Learning
LOCATION: Remote – but preference to have candidates local to the Bay area
COMPENSATION: $200,000- $250,000 plus bonus, equity
THE COMPANY:
This company will be developing products for a variety of industry including the healthcare space.
THE ROLE – Head of Machine Learning
As the Head of Machine Learning, you will be responsible for building out the roadmap for cross functional, multi-organizational programs. You will recruit, hire, mentor, and motivate Machine Learning and Data professionals. You will work with executives and Data professionals. You will remain hands on and technology forward, overseeing the building and maintenance of production-grade data and machine leaning pipelines.
YOUR SKILLS AND EXPERIENCE:
- Masters or PhD in a technical field with 5-10 years of experience within a related industry
- Expertise with cutting edge technologies such as transfer learning, unsupervised feature generation, meta-learning, generative text models, computer vision, sensor fusion, or reinforcement learning
- Programming experience in Python/SQL/C++
- Experience working within cloud architectures such as GCP, AWS, Azure
- Experience within a leadership role where you have proven success with building and maintaining teams
THE BENEFITS:
Competitive base plus equity package
HOW TO APPLY: Please register your interest by sending your CV to Jayme Oshaben via the Apply link on this page.
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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 &
Analytics.
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 – 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 – 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
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Client – 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 – 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 – 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.
